{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\smithb\Documents\research\conspiracy\jeps replication log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}24 Jan 2022, 13:13:37

{com}. do "C:\Users\smithb\AppData\Local\Temp\STD2f00_000000.tmp"
{txt}
{com}. ///*Data coding was already completed in the replication dataset - it is included for reference so the original variables and recoded variables can be compared
> ///*Text marked /// is code that can be run if needed - ///* is comments
> 
. ///*Study 1
> ///*use jeps study 1 replication data.dta

{txt}end of do-file

{com}. use "C:\Users\smithb\Documents\research\conspiracy\jeps study 1 replication data.dta"

. do "C:\Users\smithb\AppData\Local\Temp\STD2f00_000000.tmp"
{txt}
{com}. ///*Data coding
> 
. ///*Condition
> ///gen condition=0
> ///replace condition=1 if fl_6_do_covidhealth==1
> ///replace condition=2 if fl_6_do_covidecon==1
> ///replace condition=3 if fl_6_do_covidhealthecon==1
> ///label define con 0 "control" 1 "health" 2 "econ" 3 "health/econ"
> ///label val condition con
> ///tab condition
> 
. ///gen health_r=0
> ///replace health_r=1 if condition==1
> ///tab health_r
> ///label var health_r "Health"
> 
. ///gen econ_r=0
> ///replace econ_r=1 if condition==2
> ///tab econ_r
> ///label var econ_r "Econ."
> 
. ///gen healthecon_r=0
> ///replace healthecon_r=1 if condition==3
> ///tab healthecon_r
> ///label var healthecon_r "Combined"
> 
. ///*COVID attitudes
> ///tab q92
> ///gen wash=(6-q92)/5
> ///label var wash "will wash hands more"
> ///label define likely 0 "unlikely" 1 "likely"
> ///label val wash likely
> ///tab q92 wash
> 
. ///tab q102
> ///gen socdist=(6-q102)/5
> ///label var socdist "will socially distance"
> ///label val socdist likely
> ///tab q102 socdist
> 
. ///tab var65
> ///gen trips=(6-var65)/5
> ///label var trips "will reduce trips outside home"
> ///label val trips likely
> ///tab var65 trips
> 
. ///tab q104
> ///gen mask=(6-q104)/5
> ///label var mask "will wear mask"
> ///label val mask likely
> ///tab q104 mask
> 
. ///*this excludes people who already got the vaccine
> ///tab var67
> ///gen vaccineprosp=var67
> ///recode vaccineprosp 7=.
> ///replace vaccineprosp=(6-vaccineprosp)/5
> ///label var vaccineprosp "will get vaccine"
> ///label val vaccineprosp likely
> ///tab var67 vaccineprosp
> 
. ///tab q108
> ///gen buyonline=(6-q108)/5
> ///label var buyonline "will buy online"
> ///label val buyonline likely
> ///tab q108 buyonline
> 
. ///*Individual behavior
> alpha wash socdist trips mask vaccineprosp buyonline, item 

{txt}Test scale = mean(unstandardized items)

                                                            Average
                             Item-test     Item-rest       interitem
Item         {c |}  Obs  Sign   correlation   correlation     covariance      alpha
{hline 13}{c +}{hline 65}
wash{col 14}{c |}{res}{col 16} 600{col 24}+{col 31} 0.6475{col 45} 0.5254{col 59} .0307153{col 73} 0.7946
{txt}socdist{col 14}{c |}{res}{col 16} 601{col 24}+{col 31} 0.7898{col 45} 0.6978{col 59} .0269174{col 73} 0.7613
{txt}trips{col 14}{c |}{res}{col 16} 601{col 24}+{col 31} 0.7871{col 45} 0.6636{col 59} .0249535{col 73} 0.7597
{txt}mask{col 14}{c |}{res}{col 16} 601{col 24}+{col 31} 0.7947{col 45} 0.7071{col 59} .0269594{col 73} 0.7602
{txt}vaccineprosp{col 14}{c |}{res}{col 16} 559{col 24}+{col 31} 0.7115{col 45} 0.4946{col 59} .0252927{col 73} 0.8126
{txt}buyonline{col 14}{c |}{res}{col 16} 601{col 24}+{col 31} 0.6804{col 45} 0.4860{col 59} .0274014{col 73} 0.8056
{txt}{hline 13}{c +}{hline 65}
Test scale{col 14}{c |}{res}{col 59} .0270318{col 73} 0.8115
{txt}{hline 13}{c BT}{hline 65}

{com}. ///egen behavmiss=rowmiss(wash socdist trips mask vaccineprosp buyonline)
> ///egen behavindex=rowmean(wash socdist trips mask vaccineprosp buyonline) if behavmiss<4
> ///label value behavindex likely
> ///replace behavindex=round(behavindex, .01)
> ///fre behavmiss
> ///fre behavindex
> 
. ///*policy attitudes
> ///tab q102_1
> ///gen pol_mask=(6-q102_1)/5
> ///label define pol 0 "disapprove" 1 "approve"
> ///label var pol_mask "mask mandate"
> ///label val pol_mask pol
> ///tab q102_1 pol_mask
> 
. ///tab q102_2
> ///gen pol_worship=(6-q102_2)/5
> ///label var pol_worship "worship limits"
> ///label val pol_worship pol
> ///tab q102_2 pol_worship
> 
. ///tab q102_3
> ///gen pol_dining=(6-q102_3)/5
> ///label var pol_dining "dining limits"
> ///label val pol_dining pol
> ///tab q102_3 pol_dining
> 
. ///tab q102_4
> ///gen pol_lockdown=(6-q102_4)/5
> ///label var pol_lockdown "lockdown"
> ///label val pol_lockdown pol
> ///tab q102_4 pol_lockdown
> 
. ///tab q102_5
> ///gen pol_school=(6-q102_5)/5
> ///label var pol_school "school closure"
> ///label val pol_school pol
> ///tab q102_5 pol_school
> 
. ///*Policy index
> alpha pol_mask pol_worship pol_dining pol_lockdown pol_school, item

{txt}Test scale = mean(unstandardized items)

                                                            Average
                             Item-test     Item-rest       interitem
Item         {c |}  Obs  Sign   correlation   correlation     covariance      alpha
{hline 13}{c +}{hline 65}
pol_mask{col 14}{c |}{res}{col 16} 602{col 24}+{col 31} 0.8578{col 45} 0.7859{col 59} .0900334{col 73} 0.9165
{txt}pol_worship{col 14}{c |}{res}{col 16} 602{col 24}+{col 31} 0.9099{col 45} 0.8508{col 59} .0802347{col 73} 0.9032
{txt}pol_dining{col 14}{c |}{res}{col 16} 602{col 24}+{col 31} 0.8929{col 45} 0.8341{col 59} .0859076{col 73} 0.9077
{txt}pol_lockdown{col 14}{c |}{res}{col 16} 599{col 24}+{col 31} 0.8903{col 45} 0.8194{col 59} .0818585{col 73} 0.9104
{txt}pol_school{col 14}{c |}{res}{col 16} 600{col 24}+{col 31} 0.8661{col 45} 0.7802{col 59} .0832262{col 73} 0.9181
{txt}{hline 13}{c +}{hline 65}
Test scale{col 14}{c |}{res}{col 59} .0842505{col 73} 0.9277
{txt}{hline 13}{c BT}{hline 65}

{com}. ///egen polmiss=rowmiss(pol_mask pol_worship pol_dining pol_lockdown pol_school)
> ///egen polindex=rowmean(pol_mask pol_worship pol_dining pol_lockdown pol_school) if polmiss<3
> ///label value polindex pol
> ///replace polindex=round(polindex, .01)
> ///fre polmiss
> ///fre polindex
> 
. ///*ideology
> ///tab q31
> ///gen ideo=(q31-1)/6
> ///label define ideo 0 "lib" 1 "con"
> ///label val ideo ideo
> ///tab q31 ideo
> 
. ///*3-point variable - 
> ///gen ideo3=ideo
> ///replace ideo3=0 if ideo<.5
> ///replace ideo3=1 if ideo>.5
> ///label values ideo ideo
> ///tab ideo3
> 
. ///*COVID demos
> ///gen selfpos=2-q84
> ///label define yn 0 "no" 1 "yes"
> ///label val selfpos yn
> ///label var selfpos "R tested COVID positive"
> ///tab q84 selfpos
> 
. ///gen fampos=2-q86
> ///label val fampos yn
> ///label var fampos "family/friends tested COVID positive"
> ///tab q86 fampos
> 
. ///*age (coded in years)
> ///gen ageq=q70
> ///summ ageq q70
> 
. ///*gender (male/other = 0, female = 1)
> ///tab q72
> ///gen female=q72-1
> ///recode female 2=0
> ///tab q72 female
> 
. ///*text responses for 'other' are in q72_3_text
> 
. ///*race/ethnicity
> ///*separate variables for each identity 
> ///*(note that many people will be a 'yes' on more than one of these variables)
> ///tab q74_1
> ///gen latino=.
> ///forval i=1(1)5 {c -(}
> ///     qui replace latino = 0 if q74_`i'==1 
> ///     {c )-}
> ///replace latino=1 if q74_1==1
> ///tab q74_1 latino
> 
. ///tab q74_2
> ///gen black=.
> ///forval i=1(1)5 {c -(}
> ///     qui replace black = 0 if q74_`i'==1 
> ///     {c )-}
> ///replace black=1 if q74_2==1
> ///tab q74_2 black
> 
. ///tab q74_3
> ///gen asian=.
> ///forval i=1(1)5 {c -(}
> ///     qui replace asian = 0 if q74_`i'==1 
> ///     {c )-}
> ///replace asian=1 if q74_3==1
> ///tab q74_3 asian
> 
. ///tab q74_4
> ///gen white=.
> ///forval i=1(1)5 {c -(}
> ///     qui replace white = 0 if q74_`i'==1 
> ///     {c )-}
> ///replace white=1 if q74_4==1
> ///tab q74_4 white
> 
. ///tab q74_5
> ///gen native=.
> ///forval i=1(1)5 {c -(}
> ///     qui replace native = 0 if q74_`i'==1 
> ///     {c )-}
> ///replace native=1 if q74_5==1
> ///tab q74_5 native
> 
. ///*variable for non-hispanic white
> ///gen onlywhite=white
> ///replace onlywhite=0 if latino==1 | black==1 | asian==1 | native==1
> ///tab onlywhite white
> ///tab onlywhite latino
> ///tab onlywhite black
> ///tab onlywhite asian
> ///tab onlywhite native
> 
. ///*education
> ///*use 'edu' to look at the distribution of responses. use 'edu01' in regressions.
> ///tab q76
> ///gen edu=q76-1
> ///label define edu 0 "less than high school" 1 "high school/GED" 2 "some college" 3 "2-year college" 4 "4-year college" 5 "master's" 6 "doctor"
> ///label values edu edu
> ///tab q76 edu
> 
. ///gen edu01=(edu)/6
> ///tab edu01 edu
> 
. ///*household income
> ///tab q78
> ///gen income=(q78-1)/10
> ///label define income 0 "<10k" 1 "100k+"
> ///label values income income
> ///tab q78 income
> 
. ///*state of residence
> ///tab q80
> ///gen state=q80
> ///label define state 1 "AL" 2 "AK" 3 "AZ" 4 "AR" 5 "CA" 6 "CO" 7 "CT" 8 "DE" 9 "DC" 10 "FL" 11 "GA" 12 "HI" 13 "ID" 14 "IL" 15 "IN" 16 "IA" 17 "KS" 18 "KY" 19 "LA" 20 "ME" 21 "MD" 22 "MA" 23 "MI" 24 "MN" 25 "MS" 26 "MO" 27 "MT" 28 "NE" 29 "NV" 30 "NH" 31 "NJ" 32 "NM" 33 "NY" 34 "NC" 35 "ND" 36 "OH" 37 "OK" 38 "OR" 39 "PA" 40 "PR" 41 "RI" 42 "SC" 43 "SD" 44 "TN" 45 "TX" 46 "UT" 47 "VT" 48 "VA" 49 "WA" 50 "WV" 51 "WI" 52 "WY" 53 "No state"
> ///label val state state
> ///tab state
> 
. ///*census regions
> ///gen west=0 if state!=.
> ///replace west=1 if state==49 | state==38 | state==5 | state==27 | state==13 | state==52 | state==46 | state==29 | state==6 | state==3 | state==32 | state==12 | state==2
> ///tab west
> 
. ///gen midwest=0 if state!=.
> ///replace midwest=1 if state==35 | state==43 | state==28 | state==17 | state==24 | state==16 | state==26 | state==51 | state==14 | state==23 | state==15 |state==36
> ///tab midwest
> 
. ///gen south=0 if state!=.
> ///replace south=1 if state==37 | state==45 | state==4 | state==19 | state==18 | state==44 | state==25 | state==1 | state==8 | state==21 | state==50 | state==9 | state==48 | state==34 | state==42 | state==11 | state==10
> ///tab south
> 
. ///gen northeast=0 if state!=.
> ///replace northeast=1 if state==20 | state==30 | state==47 | state==22 | state==7 | state==41 | state==33 | state==31 | state==39
> ///tab northeast
> 
. ///*urban/rural
> ///tab q82_1
> ///gen rural=(q82_1)/4
> ///label define rural 0 "urban" 1 "rural"
> ///label val rural rural
> ///tab rural
> ///tab rural q82_1
> 
. ///*Analyses
> 
. ///*Table 1 - Study 1
> reg behavindex  i.condition ideo selfpos fampos age female onlywhite edu01 income rural west south midwest 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       558
{txt}{hline 13}{c +}{hline 34}   F(15, 542)      = {res}     9.99
{txt}       Model {c |} {res} 3.96900506        15  .264600337   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 14.3510907       542  .026478027   {txt}R-squared       ={res}    0.2166
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1950
{txt}       Total {c |} {res} 18.3200958       557  .032890657   {txt}Root MSE        =   {res} .16272

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2} .0250516{col 26}{space 2}   .01961{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4}-.0134692{col 67}{space 3} .0635725
{txt}{space 7}econ  {c |}{col 14}{res}{space 2} .0243226{col 26}{space 2} .0194632{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}  -.01391{col 67}{space 3} .0625552
{txt}health/econ  {c |}{col 14}{res}{space 2} .0320025{col 26}{space 2} .0194102{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0061259{col 67}{space 3} .0701308
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.2640368{col 26}{space 2} .0239436{col 37}{space 1}  -11.03{col 46}{space 3}0.000{col 54}{space 4}-.3110704{col 67}{space 3}-.2170032
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2}  -.04175{col 26}{space 2} .0295603{col 37}{space 1}   -1.41{col 46}{space 3}0.158{col 54}{space 4}-.0998168{col 67}{space 3} .0163168
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0262008{col 26}{space 2} .0144455{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0021752{col 67}{space 3} .0545768
{txt}{space 8}ageq {c |}{col 14}{res}{space 2} .0011382{col 26}{space 2} .0005462{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0000653{col 67}{space 3} .0022111
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0065835{col 26}{space 2}  .014486{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.0350392{col 67}{space 3} .0218721
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0312297{col 26}{space 2} .0163431{col 37}{space 1}   -1.91{col 46}{space 3}0.057{col 54}{space 4}-.0633332{col 67}{space 3} .0008739
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0686014{col 26}{space 2} .0310528{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0076028{col 67}{space 3}    .1296
{txt}{space 6}income {c |}{col 14}{res}{space 2} .0271773{col 26}{space 2} .0232847{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.0185619{col 67}{space 3} .0729166
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0084702{col 26}{space 2}  .027433{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-.0623582{col 67}{space 3} .0454177
{txt}{space 8}west {c |}{col 14}{res}{space 2} .0153202{col 26}{space 2} .0215204{col 37}{space 1}    0.71{col 46}{space 3}0.477{col 54}{space 4}-.0269535{col 67}{space 3} .0575938
{txt}{space 7}south {c |}{col 14}{res}{space 2} .0080827{col 26}{space 2} .0190879{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.0294127{col 67}{space 3}  .045578
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0243542{col 26}{space 2} .0222077{col 37}{space 1}   -1.10{col 46}{space 3}0.273{col 54}{space 4} -.067978{col 67}{space 3} .0192695
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8368409{col 26}{space 2} .0362351{col 37}{space 1}   23.09{col 46}{space 3}0.000{col 54}{space 4} .7656624{col 67}{space 3} .9080195
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model1
{txt}
{com}. reg behavindex  i.condition##c.ideo selfpos fampos age female onlywhite edu01 income rural west south midwest

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       558
{txt}{hline 13}{c +}{hline 34}   F(18, 539)      = {res}     9.05
{txt}       Model {c |} {res} 4.25351872        18  .236306596   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  14.066577       539  .026097546   {txt}R-squared       ={res}    0.2322
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2065
{txt}       Total {c |} {res} 18.3200958       557  .032890657   {txt}Root MSE        =   {res} .16155

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0040807{col 30}{space 2} .0341171{col 41}{space 1}   -0.12{col 50}{space 3}0.905{col 58}{space 4}-.0710994{col 71}{space 3} .0629379
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0124919{col 30}{space 2} .0347203{col 41}{space 1}   -0.36{col 50}{space 3}0.719{col 58}{space 4}-.0806956{col 71}{space 3} .0557118
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0568119{col 30}{space 2}  .033515{col 41}{space 1}   -1.70{col 50}{space 3}0.091{col 58}{space 4} -.122648{col 71}{space 3} .0090242
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.3550847{col 30}{space 2} .0458207{col 41}{space 1}   -7.75{col 50}{space 3}0.000{col 58}{space 4}-.4450937{col 71}{space 3}-.2650758
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2} .0665902{col 30}{space 2} .0643497{col 41}{space 1}    1.03{col 50}{space 3}0.301{col 58}{space 4}-.0598168{col 71}{space 3} .1929972
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} .0862346{col 30}{space 2} .0635225{col 41}{space 1}    1.36{col 50}{space 3}0.175{col 58}{space 4}-.0385473{col 71}{space 3} .2110165
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}  .205685{col 30}{space 2} .0634959{col 41}{space 1}    3.24{col 50}{space 3}0.001{col 58}{space 4} .0809552{col 71}{space 3} .3304149
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2}-.0351248{col 30}{space 2} .0294244{col 41}{space 1}   -1.19{col 50}{space 3}0.233{col 58}{space 4}-.0929254{col 71}{space 3} .0226758
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0276458{col 30}{space 2} .0143579{col 41}{space 1}    1.93{col 50}{space 3}0.055{col 58}{space 4}-.0005586{col 71}{space 3} .0558502
{txt}{space 12}ageq {c |}{col 18}{res}{space 2} .0013019{col 30}{space 2} .0005459{col 41}{space 1}    2.39{col 50}{space 3}0.017{col 58}{space 4} .0002296{col 71}{space 3} .0023743
{txt}{space 10}female {c |}{col 18}{res}{space 2}-.0067725{col 30}{space 2} .0143881{col 41}{space 1}   -0.47{col 50}{space 3}0.638{col 58}{space 4}-.0350361{col 71}{space 3} .0214911
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0338851{col 30}{space 2} .0162461{col 41}{space 1}   -2.09{col 50}{space 3}0.037{col 58}{space 4}-.0657985{col 71}{space 3}-.0019717
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0681162{col 30}{space 2} .0308489{col 41}{space 1}    2.21{col 50}{space 3}0.028{col 58}{space 4} .0075173{col 71}{space 3}  .128715
{txt}{space 10}income {c |}{col 18}{res}{space 2} .0260806{col 30}{space 2} .0231345{col 41}{space 1}    1.13{col 50}{space 3}0.260{col 58}{space 4}-.0193643{col 71}{space 3} .0715254
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0107719{col 30}{space 2} .0274554{col 41}{space 1}   -0.39{col 50}{space 3}0.695{col 58}{space 4}-.0647046{col 71}{space 3} .0431609
{txt}{space 12}west {c |}{col 18}{res}{space 2} .0167189{col 30}{space 2} .0214041{col 41}{space 1}    0.78{col 50}{space 3}0.435{col 58}{space 4}-.0253267{col 71}{space 3} .0587645
{txt}{space 11}south {c |}{col 18}{res}{space 2}   .00911{col 30}{space 2} .0189866{col 41}{space 1}    0.48{col 50}{space 3}0.632{col 58}{space 4}-.0281868{col 71}{space 3} .0464068
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0237947{col 30}{space 2} .0220743{col 41}{space 1}   -1.08{col 50}{space 3}0.282{col 58}{space 4}-.0671569{col 71}{space 3} .0195674
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8720394{col 30}{space 2} .0391423{col 41}{space 1}   22.28{col 50}{space 3}0.000{col 58}{space 4} .7951491{col 71}{space 3} .9489296
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model2
{txt}
{com}. reg polindex  i.condition ideo selfpos fampos age female onlywhite edu01 income rural west south midwest 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       558
{txt}{hline 13}{c +}{hline 34}   F(15, 542)      = {res}    18.17
{txt}       Model {c |} {res} 17.1125494        15  1.14083663   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 34.0335201       542  .062792472   {txt}R-squared       ={res}    0.3346
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3162
{txt}       Total {c |} {res} 51.1460695       557  .091824182   {txt}Root MSE        =   {res} .25058

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2} .0355373{col 26}{space 2} .0301987{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.0237835{col 67}{space 3} .0948581
{txt}{space 7}econ  {c |}{col 14}{res}{space 2} .0397979{col 26}{space 2} .0299727{col 37}{space 1}    1.33{col 46}{space 3}0.185{col 54}{space 4} -.019079{col 67}{space 3} .0986748
{txt}health/econ  {c |}{col 14}{res}{space 2} .0303205{col 26}{space 2}  .029891{col 37}{space 1}    1.01{col 46}{space 3}0.311{col 54}{space 4}-.0283959{col 67}{space 3} .0890369
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.5382762{col 26}{space 2} .0368723{col 37}{space 1}  -14.60{col 46}{space 3}0.000{col 54}{space 4}-.6107063{col 67}{space 3}-.4658461
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2}-.0664829{col 26}{space 2} .0455218{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.1559038{col 67}{space 3} .0229379
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0067182{col 26}{space 2} .0222456{col 37}{space 1}    0.30{col 46}{space 3}0.763{col 54}{space 4}-.0369799{col 67}{space 3} .0504163
{txt}{space 8}ageq {c |}{col 14}{res}{space 2}-.0001337{col 26}{space 2} .0008411{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.0017859{col 67}{space 3} .0015185
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0204054{col 26}{space 2}  .022308{col 37}{space 1}    0.91{col 46}{space 3}0.361{col 54}{space 4}-.0234152{col 67}{space 3} .0642261
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0443378{col 26}{space 2} .0251678{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.0937761{col 67}{space 3} .0051006
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0521244{col 26}{space 2} .0478203{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.0418113{col 67}{space 3} .1460602
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0209985{col 26}{space 2} .0358576{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4}-.0914353{col 67}{space 3} .0494384
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0446169{col 26}{space 2} .0422458{col 37}{space 1}   -1.06{col 46}{space 3}0.291{col 54}{space 4}-.1276026{col 67}{space 3} .0383687
{txt}{space 8}west {c |}{col 14}{res}{space 2} .0386682{col 26}{space 2} .0331407{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.0264318{col 67}{space 3} .1037682
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0150063{col 26}{space 2} .0293947{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.0727478{col 67}{space 3} .0427352
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0304983{col 26}{space 2} .0341991{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.0976773{col 67}{space 3} .0366808
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9674368{col 26}{space 2} .0558009{col 37}{space 1}   17.34{col 46}{space 3}0.000{col 54}{space 4} .8578243{col 67}{space 3} 1.077049
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model3
{txt}
{com}. reg polindex  i.condition##c.ideo selfpos fampos age female onlywhite edu01 income rural west south midwest 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       558
{txt}{hline 13}{c +}{hline 34}   F(18, 539)      = {res}    15.44
{txt}       Model {c |} {res} 17.4004853        18  .966693628   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 33.7455842       539  .062607763   {txt}R-squared       ={res}    0.3402
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3182
{txt}       Total {c |} {res} 51.1460695       557  .091824182   {txt}Root MSE        =   {res} .25022

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0166815{col 30}{space 2} .0528428{col 41}{space 1}   -0.32{col 50}{space 3}0.752{col 58}{space 4}-.1204845{col 71}{space 3} .0871216
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0122755{col 30}{space 2} .0537772{col 41}{space 1}   -0.23{col 50}{space 3}0.820{col 58}{space 4}-.1179141{col 71}{space 3}  .093363
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0602563{col 30}{space 2} .0519104{col 41}{space 1}   -1.16{col 50}{space 3}0.246{col 58}{space 4}-.1622277{col 71}{space 3} .0417151
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.6518095{col 30}{space 2} .0709702{col 41}{space 1}   -9.18{col 50}{space 3}0.000{col 58}{space 4}-.7912215{col 71}{space 3}-.5123975
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2} .1197886{col 30}{space 2} .0996692{col 41}{space 1}    1.20{col 50}{space 3}0.230{col 58}{space 4}-.0759991{col 71}{space 3} .3155763
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} .1203018{col 30}{space 2} .0983879{col 41}{space 1}    1.22{col 50}{space 3}0.222{col 58}{space 4}-.0729689{col 71}{space 3} .3135724
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .2098023{col 30}{space 2} .0983468{col 41}{space 1}    2.13{col 50}{space 3}0.033{col 58}{space 4} .0166123{col 71}{space 3} .4029923
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2}  -.06028{col 30}{space 2} .0455746{col 41}{space 1}   -1.32{col 50}{space 3}0.187{col 58}{space 4}-.1498055{col 71}{space 3} .0292455
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0085374{col 30}{space 2} .0222385{col 41}{space 1}    0.38{col 50}{space 3}0.701{col 58}{space 4}-.0351474{col 71}{space 3} .0522223
{txt}{space 12}ageq {c |}{col 18}{res}{space 2}-8.91e-06{col 30}{space 2} .0008455{col 41}{space 1}   -0.01{col 50}{space 3}0.992{col 58}{space 4}-.0016698{col 71}{space 3}  .001652
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0198203{col 30}{space 2} .0222853{col 41}{space 1}    0.89{col 50}{space 3}0.374{col 58}{space 4}-.0239563{col 71}{space 3} .0635969
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0470265{col 30}{space 2}  .025163{col 41}{space 1}   -1.87{col 50}{space 3}0.062{col 58}{space 4}-.0964561{col 71}{space 3} .0024031
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0513017{col 30}{space 2} .0477809{col 41}{space 1}    1.07{col 50}{space 3}0.283{col 58}{space 4} -.042558{col 71}{space 3} .1451613
{txt}{space 10}income {c |}{col 18}{res}{space 2}-.0212935{col 30}{space 2} .0358323{col 41}{space 1}   -0.59{col 50}{space 3}0.553{col 58}{space 4}-.0916815{col 71}{space 3} .0490945
{txt}{space 11}rural {c |}{col 18}{res}{space 2}   -.0446{col 30}{space 2} .0425248{col 41}{space 1}   -1.05{col 50}{space 3}0.295{col 58}{space 4}-.1281346{col 71}{space 3} .0389347
{txt}{space 12}west {c |}{col 18}{res}{space 2} .0401332{col 30}{space 2}  .033152{col 41}{space 1}    1.21{col 50}{space 3}0.227{col 58}{space 4}-.0249898{col 71}{space 3} .1052563
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0129533{col 30}{space 2} .0294077{col 41}{space 1}   -0.44{col 50}{space 3}0.660{col 58}{space 4} -.070721{col 71}{space 3} .0448144
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0295461{col 30}{space 2} .0341901{col 41}{space 1}   -0.86{col 50}{space 3}0.388{col 58}{space 4}-.0967083{col 71}{space 3} .0376162
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 1.011983{col 30}{space 2} .0606263{col 41}{space 1}   16.69{col 50}{space 3}0.000{col 58}{space 4} .8928897{col 71}{space 3} 1.131075
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model4
{txt}
{com}. 
. esttab model1 model2 model3 model4, label b(2) se r2 star(+ 0.10 * 0.05 ** 0.01)  ///
>   title(Table 1: Study 1)
{res}
{txt}Table 1: Study 1
{txt}{hline 80}
{txt}                              (1)            (2)            (3)            (4)  
{txt}                       behavindex     behavindex       polindex       polindex  
{txt}{hline 80}
{txt}control             {res}         0.00           0.00           0.00           0.00  {txt}
                    {res} {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}  {txt}

{txt}health              {res}         0.03          -0.00           0.04          -0.02  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}econ                {res}         0.02          -0.01           0.04          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}health/econ         {res}         0.03+         -0.06+          0.03          -0.06  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}ideo                {res}        -0.26**        -0.36**        -0.54**        -0.65**{txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.07{txt:)}}  {txt}

{txt}R tested COVID pos~e{res}        -0.04          -0.04          -0.07          -0.06  {txt}
                    {res} {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}family/friends tes~i{res}         0.03+          0.03+          0.01           0.01  {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}ageq                {res}         0.00*          0.00*         -0.00          -0.00  {txt}
                    {res} {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}  {txt}

{txt}female              {res}        -0.01          -0.01           0.02           0.02  {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}onlywhite           {res}        -0.03+         -0.03*         -0.04+         -0.05+ {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}edu01               {res}         0.07*          0.07*          0.05           0.05  {txt}
                    {res} {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}income              {res}         0.03           0.03          -0.02          -0.02  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}rural               {res}        -0.01          -0.01          -0.04          -0.04  {txt}
                    {res} {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}west                {res}         0.02           0.02           0.04           0.04  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}south               {res}         0.01           0.01          -0.02          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}midwest             {res}        -0.02          -0.02          -0.03          -0.03  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}control # ideo      {res}                        0.00                          0.00  {txt}
                    {res}                {ralign 12:{txt:(}.{txt:)}}                  {ralign 12:{txt:(}.{txt:)}}  {txt}

{txt}health # ideo       {res}                        0.07                          0.12  {txt}
                    {res}                {ralign 12:{txt:(}0.06{txt:)}}                  {ralign 12:{txt:(}0.10{txt:)}}  {txt}

{txt}econ # ideo         {res}                        0.09                          0.12  {txt}
                    {res}                {ralign 12:{txt:(}0.06{txt:)}}                  {ralign 12:{txt:(}0.10{txt:)}}  {txt}

{txt}health/econ # ideo  {res}                        0.21**                        0.21* {txt}
                    {res}                {ralign 12:{txt:(}0.06{txt:)}}                  {ralign 12:{txt:(}0.10{txt:)}}  {txt}

{txt}Constant            {res}         0.84**         0.87**         0.97**         1.01**{txt}
                    {res} {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.06{txt:)}}   {ralign 12:{txt:(}0.06{txt:)}}  {txt}
{txt}{hline 80}
{txt}Observations        {res}          558            558            558            558  {txt}
{txt}R-squared           {res}        0.217          0.232          0.335          0.340  {txt}
{txt}{hline 80}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01

{com}.   
. ///*Table A1 - Study 1 Participant Demographics
> summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        602    .4424142    .3069218          0          1
{txt}{space 5}selfpos {c |}{res}        599    .0701169    .2555573          0          1
{txt}{space 6}fampos {c |}{res}        601    .5574043    .4971076          0          1
{txt}{space 8}ageq {c |}{res}        602    37.52326    14.11376         18         78
{txt}{space 6}female {c |}{res}        601    .5124792    .5002606          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        596    .7181208    .4502927          0          1
{txt}{space 7}rural {c |}{res}        574    .4660279    .2661455          0          1
{txt}{space 8}west {c |}{res}        597    .2244556    .4175732          0          1
{txt}{space 3}northeast {c |}{res}        597     .201005    .4010879          0          1
{txt}{space 7}south {c |}{res}        597    .3785595    .4854348          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        597    .1959799     .397286          0          1
{txt}
{com}. tab edu

                  {txt}edu {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
less than high school {c |}{res}         10        1.66        1.66
{txt}      high school/GED {c |}{res}         67       11.13       12.79
{txt}         some college {c |}{res}        124       20.60       33.39
{txt}       2-year college {c |}{res}         54        8.97       42.36
{txt}       4-year college {c |}{res}        232       38.54       80.90
{txt}             master's {c |}{res}         88       14.62       95.51
{txt}               doctor {c |}{res}         27        4.49      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        602      100.00
{txt}
{com}. tab income

     {txt}income {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       <10k {c |}{res}         29        4.82        4.82
{txt}         .1 {c |}{res}         40        6.64       11.46
{txt}         .2 {c |}{res}         39        6.48       17.94
{txt}         .3 {c |}{res}         57        9.47       27.41
{txt}         .4 {c |}{res}         54        8.97       36.38
{txt}         .5 {c |}{res}         70       11.63       48.01
{txt}         .6 {c |}{res}         51        8.47       56.48
{txt}         .7 {c |}{res}         50        8.31       64.78
{txt}         .8 {c |}{res}         41        6.81       71.59
{txt}         .9 {c |}{res}         34        5.65       77.24
{txt}      100k+ {c |}{res}        137       22.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        602      100.00
{txt}
{com}. 
. summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if condition==0 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        154    .4329004    .2973616          0          1
{txt}{space 5}selfpos {c |}{res}        154    .0454545    .2089785          0          1
{txt}{space 6}fampos {c |}{res}        154    .5584416     .498193          0          1
{txt}{space 8}ageq {c |}{res}        154    37.64935    13.60677         18         78
{txt}{space 6}female {c |}{res}        154     .538961    .5001061          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        153    .7124183    .4541215          0          1
{txt}{space 7}rural {c |}{res}        148    .4898649    .2540127          0          1
{txt}{space 8}west {c |}{res}        154    .2727273    .4468148          0          1
{txt}{space 3}northeast {c |}{res}        154    .1883117    .3922364          0          1
{txt}{space 7}south {c |}{res}        154    .3571429    .4807207          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        154    .1818182     .386953          0          1
{txt}
{com}. tab edu if condition==0

                  {txt}edu {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
less than high school {c |}{res}          4        2.60        2.60
{txt}      high school/GED {c |}{res}         15        9.74       12.34
{txt}         some college {c |}{res}         34       22.08       34.42
{txt}       2-year college {c |}{res}         12        7.79       42.21
{txt}       4-year college {c |}{res}         58       37.66       79.87
{txt}             master's {c |}{res}         25       16.23       96.10
{txt}               doctor {c |}{res}          6        3.90      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        154      100.00
{txt}
{com}. tab income if condition==0

     {txt}income {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       <10k {c |}{res}         10        6.49        6.49
{txt}         .1 {c |}{res}          7        4.55       11.04
{txt}         .2 {c |}{res}          9        5.84       16.88
{txt}         .3 {c |}{res}         15        9.74       26.62
{txt}         .4 {c |}{res}         17       11.04       37.66
{txt}         .5 {c |}{res}         18       11.69       49.35
{txt}         .6 {c |}{res}         15        9.74       59.09
{txt}         .7 {c |}{res}         13        8.44       67.53
{txt}         .8 {c |}{res}          8        5.19       72.73
{txt}         .9 {c |}{res}         10        6.49       79.22
{txt}      100k+ {c |}{res}         32       20.78      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        154      100.00
{txt}
{com}. 
. summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if condition==1 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        147    .4285714     .307813          0          1
{txt}{space 5}selfpos {c |}{res}        146    .1027397    .3046638          0          1
{txt}{space 6}fampos {c |}{res}        147    .5714286    .4965635          0          1
{txt}{space 8}ageq {c |}{res}        147     38.5034    14.92647         18         77
{txt}{space 6}female {c |}{res}        147    .5442177    .4997437          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        147    .7210884    .4499972          0          1
{txt}{space 7}rural {c |}{res}        136    .4705882    .2636265          0          1
{txt}{space 8}west {c |}{res}        146    .1917808    .3950568          0          1
{txt}{space 3}northeast {c |}{res}        146    .1780822    .3838989          0          1
{txt}{space 7}south {c |}{res}        146    .4315068    .4969914          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        146    .1986301    .4003423          0          1
{txt}
{com}. tab edu if condition==1

                  {txt}edu {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
less than high school {c |}{res}          3        2.04        2.04
{txt}      high school/GED {c |}{res}         20       13.61       15.65
{txt}         some college {c |}{res}         35       23.81       39.46
{txt}       2-year college {c |}{res}         10        6.80       46.26
{txt}       4-year college {c |}{res}         55       37.41       83.67
{txt}             master's {c |}{res}         13        8.84       92.52
{txt}               doctor {c |}{res}         11        7.48      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        147      100.00
{txt}
{com}. tab income if condition==1

     {txt}income {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       <10k {c |}{res}          5        3.40        3.40
{txt}         .1 {c |}{res}         12        8.16       11.56
{txt}         .2 {c |}{res}         12        8.16       19.73
{txt}         .3 {c |}{res}         14        9.52       29.25
{txt}         .4 {c |}{res}         15       10.20       39.46
{txt}         .5 {c |}{res}         15       10.20       49.66
{txt}         .6 {c |}{res}         15       10.20       59.86
{txt}         .7 {c |}{res}         10        6.80       66.67
{txt}         .8 {c |}{res}         12        8.16       74.83
{txt}         .9 {c |}{res}         10        6.80       81.63
{txt}      100k+ {c |}{res}         27       18.37      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        147      100.00
{txt}
{com}. 
. summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if condition==2

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        149    .4776286    .3157869          0          1
{txt}{space 5}selfpos {c |}{res}        149    .0469799    .2123094          0          1
{txt}{space 6}fampos {c |}{res}        149    .5234899    .5011324          0          1
{txt}{space 8}ageq {c |}{res}        149    37.47651    14.01331         18         74
{txt}{space 6}female {c |}{res}        148    .4391892    .4979735          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        147    .7346939    .4430055          0          1
{txt}{space 7}rural {c |}{res}        143    .4667832    .2802755          0          1
{txt}{space 8}west {c |}{res}        147    .2312925    .4231005          0          1
{txt}{space 3}northeast {c |}{res}        147    .2244898    .4186724          0          1
{txt}{space 7}south {c |}{res}        147    .3197279    .4679655          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        147    .2244898    .4186724          0          1
{txt}
{com}. tab edu if condition==2

                  {txt}edu {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
less than high school {c |}{res}          2        1.34        1.34
{txt}      high school/GED {c |}{res}         17       11.41       12.75
{txt}         some college {c |}{res}         26       17.45       30.20
{txt}       2-year college {c |}{res}         16       10.74       40.94
{txt}       4-year college {c |}{res}         61       40.94       81.88
{txt}             master's {c |}{res}         21       14.09       95.97
{txt}               doctor {c |}{res}          6        4.03      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        149      100.00
{txt}
{com}. tab income if condition==2

     {txt}income {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       <10k {c |}{res}          5        3.36        3.36
{txt}         .1 {c |}{res}         11        7.38       10.74
{txt}         .2 {c |}{res}         10        6.71       17.45
{txt}         .3 {c |}{res}         20       13.42       30.87
{txt}         .4 {c |}{res}          6        4.03       34.90
{txt}         .5 {c |}{res}         23       15.44       50.34
{txt}         .6 {c |}{res}         11        7.38       57.72
{txt}         .7 {c |}{res}         11        7.38       65.10
{txt}         .8 {c |}{res}         10        6.71       71.81
{txt}         .9 {c |}{res}          6        4.03       75.84
{txt}      100k+ {c |}{res}         36       24.16      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        149      100.00
{txt}
{com}. 
. summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if condition==3

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        152    .4309211    .3071649          0          1
{txt}{space 5}selfpos {c |}{res}        150    .0866667    .2822885          0          1
{txt}{space 6}fampos {c |}{res}        151    .5761589    .4958103          0          1
{txt}{space 8}ageq {c |}{res}        152    36.49342    13.97585         18         77
{txt}{space 6}female {c |}{res}        152    .5263158    .5009576          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        149     .704698     .457717          0          1
{txt}{space 7}rural {c |}{res}        147    .4370748    .2663225          0          1
{txt}{space 8}west {c |}{res}        150          .2      .40134          0          1
{txt}{space 3}northeast {c |}{res}        150    .2133333    .4110335          0          1
{txt}{space 7}south {c |}{res}        150    .4066667    .4928573          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        150         .18    .3854745          0          1
{txt}
{com}. tab edu if condition==3

                  {txt}edu {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
less than high school {c |}{res}          1        0.66        0.66
{txt}      high school/GED {c |}{res}         15        9.87       10.53
{txt}         some college {c |}{res}         29       19.08       29.61
{txt}       2-year college {c |}{res}         16       10.53       40.13
{txt}       4-year college {c |}{res}         58       38.16       78.29
{txt}             master's {c |}{res}         29       19.08       97.37
{txt}               doctor {c |}{res}          4        2.63      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        152      100.00
{txt}
{com}. tab income if condition==3

     {txt}income {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       <10k {c |}{res}          9        5.92        5.92
{txt}         .1 {c |}{res}         10        6.58       12.50
{txt}         .2 {c |}{res}          8        5.26       17.76
{txt}         .3 {c |}{res}          8        5.26       23.03
{txt}         .4 {c |}{res}         16       10.53       33.55
{txt}         .5 {c |}{res}         14        9.21       42.76
{txt}         .6 {c |}{res}         10        6.58       49.34
{txt}         .7 {c |}{res}         16       10.53       59.87
{txt}         .8 {c |}{res}         11        7.24       67.11
{txt}         .9 {c |}{res}          8        5.26       72.37
{txt}      100k+ {c |}{res}         42       27.63      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        152      100.00
{txt}
{com}. 
. ///*Table A2 - Study 1 Distribution of Liberals, Moderates, and Conservatives
> tab ideo3 condition

           {txt}{c |}                  condition
     ideo3 {c |}   control     health       econ  health/ec {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
         0 {c |}{res}        76         69         61         72 {txt}{c |}{res}       278 
{txt}        .5 {c |}{res}        26         26         29         24 {txt}{c |}{res}       105 
{txt}         1 {c |}{res}        52         52         59         56 {txt}{c |}{res}       219 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}       154        147        149        152 {txt}{c |}{res}       602 
{txt}
{com}. 
. ///*Table A3 - Study 1 Interaction with Three-Point Ideology
> reg behavindex  i.condition ideo3 selfpos fampos age female onlywhite edu01 income rural west south midwest 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       558
{txt}{hline 13}{c +}{hline 34}   F(15, 542)      = {res}     8.81
{txt}       Model {c |} {res}   3.591378        15    .2394252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 14.7287178       542  .027174756   {txt}R-squared       ={res}    0.1960
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1738
{txt}       Total {c |} {res} 18.3200958       557  .032890657   {txt}Root MSE        =   {res} .16485

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2} .0300193{col 26}{space 2} .0198714{col 37}{space 1}    1.51{col 46}{space 3}0.131{col 54}{space 4}-.0090152{col 67}{space 3} .0690538
{txt}{space 7}econ  {c |}{col 14}{res}{space 2} .0250563{col 26}{space 2}  .019725{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4}-.0136905{col 67}{space 3} .0638031
{txt}health/econ  {c |}{col 14}{res}{space 2} .0365411{col 26}{space 2} .0196705{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0020986{col 67}{space 3} .0751808
{txt}{space 12} {c |}
{space 7}ideo3 {c |}{col 14}{res}{space 2}-.1690241{col 26}{space 2} .0165273{col 37}{space 1}  -10.23{col 46}{space 3}0.000{col 54}{space 4}-.2014895{col 67}{space 3}-.1365587
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2}-.0421567{col 26}{space 2} .0299473{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4}-.1009838{col 67}{space 3} .0166703
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0254015{col 26}{space 2} .0146342{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0033451{col 67}{space 3} .0541482
{txt}{space 8}ageq {c |}{col 14}{res}{space 2} .0011812{col 26}{space 2} .0005566{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0000878{col 67}{space 3} .0022746
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.0028968{col 26}{space 2} .0146455{col 37}{space 1}   -0.20{col 46}{space 3}0.843{col 54}{space 4}-.0316657{col 67}{space 3} .0258721
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0279202{col 26}{space 2} .0165701{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-.0604696{col 67}{space 3} .0046293
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0628146{col 26}{space 2} .0314903{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0009565{col 67}{space 3} .1246726
{txt}{space 6}income {c |}{col 14}{res}{space 2} .0325185{col 26}{space 2} .0237066{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0140495{col 67}{space 3} .0790865
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0079264{col 26}{space 2}  .027807{col 37}{space 1}   -0.29{col 46}{space 3}0.776{col 54}{space 4} -.062549{col 67}{space 3} .0466963
{txt}{space 8}west {c |}{col 14}{res}{space 2}  .014645{col 26}{space 2} .0218053{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.0281883{col 67}{space 3} .0574782
{txt}{space 7}south {c |}{col 14}{res}{space 2} .0070622{col 26}{space 2} .0193361{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4}-.0309207{col 67}{space 3} .0450451
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0233116{col 26}{space 2} .0224963{col 37}{space 1}   -1.04{col 46}{space 3}0.301{col 54}{space 4}-.0675023{col 67}{space 3} .0208791
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7884343{col 26}{space 2} .0364921{col 37}{space 1}   21.61{col 46}{space 3}0.000{col 54}{space 4} .7167511{col 67}{space 3} .8601175
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model1
{txt}
{com}. reg behavindex  i.condition##c.ideo3 selfpos fampos age female onlywhite edu01 income rural west south midwest

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       558
{txt}{hline 13}{c +}{hline 34}   F(18, 539)      = {res}     8.05
{txt}       Model {c |} {res} 3.88031423        18  .215573013   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 14.4397815       539  .026789947   {txt}R-squared       ={res}    0.2118
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1855
{txt}       Total {c |} {res} 18.3200958       557  .032890657   {txt}Root MSE        =   {res} .16368

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       behavindex{col 19}{c |} Coefficient{col 31}  Std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}condition {c |}
{space 10}health  {c |}{col 19}{res}{space 2} .0144467{col 31}{space 2} .0275145{col 42}{space 1}    0.53{col 51}{space 3}0.600{col 59}{space 4} -.039602{col 72}{space 3} .0684955
{txt}{space 12}econ  {c |}{col 19}{res}{space 2} .0123263{col 31}{space 2} .0279983{col 42}{space 1}    0.44{col 51}{space 3}0.660{col 59}{space 4}-.0426729{col 72}{space 3} .0673255
{txt}{space 5}health/econ  {c |}{col 19}{res}{space 2}-.0222371{col 31}{space 2} .0269857{col 42}{space 1}   -0.82{col 51}{space 3}0.410{col 59}{space 4}-.0752472{col 72}{space 3} .0307729
{txt}{space 17} {c |}
{space 12}ideo3 {c |}{col 19}{res}{space 2}-.2209238{col 31}{space 2}   .03084{col 42}{space 1}   -7.16{col 51}{space 3}0.000{col 59}{space 4}-.2815052{col 72}{space 3}-.1603424
{txt}{space 17} {c |}
condition#c.ideo3 {c |}
{space 10}health  {c |}{col 19}{res}{space 2} .0371995{col 31}{space 2} .0435442{col 42}{space 1}    0.85{col 51}{space 3}0.393{col 59}{space 4}-.0483376{col 72}{space 3} .1227365
{txt}{space 12}econ  {c |}{col 19}{res}{space 2}  .034354{col 31}{space 2} .0435818{col 42}{space 1}    0.79{col 51}{space 3}0.431{col 59}{space 4}-.0512569{col 72}{space 3}  .119965
{txt}{space 5}health/econ  {c |}{col 19}{res}{space 2} .1344364{col 31}{space 2} .0428996{col 42}{space 1}    3.13{col 51}{space 3}0.002{col 59}{space 4} .0501656{col 72}{space 3} .2187073
{txt}{space 17} {c |}
{space 10}selfpos {c |}{col 19}{res}{space 2}-.0348029{col 31}{space 2} .0298934{col 42}{space 1}   -1.16{col 51}{space 3}0.245{col 59}{space 4}-.0935248{col 72}{space 3}  .023919
{txt}{space 11}fampos {c |}{col 19}{res}{space 2} .0270402{col 31}{space 2} .0145629{col 42}{space 1}    1.86{col 51}{space 3}0.064{col 59}{space 4}-.0015668{col 72}{space 3} .0556472
{txt}{space 13}ageq {c |}{col 19}{res}{space 2} .0013349{col 31}{space 2} .0005554{col 42}{space 1}    2.40{col 51}{space 3}0.017{col 59}{space 4} .0002439{col 72}{space 3} .0024258
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0016409{col 31}{space 2} .0145651{col 42}{space 1}   -0.11{col 51}{space 3}0.910{col 59}{space 4}-.0302523{col 72}{space 3} .0269704
{txt}{space 8}onlywhite {c |}{col 19}{res}{space 2}-.0306951{col 31}{space 2} .0164806{col 42}{space 1}   -1.86{col 51}{space 3}0.063{col 59}{space 4}-.0630691{col 72}{space 3}  .001679
{txt}{space 12}edu01 {c |}{col 19}{res}{space 2} .0644046{col 31}{space 2} .0313113{col 42}{space 1}    2.06{col 51}{space 3}0.040{col 59}{space 4} .0028974{col 72}{space 3} .1259117
{txt}{space 11}income {c |}{col 19}{res}{space 2} .0313825{col 31}{space 2} .0235579{col 42}{space 1}    1.33{col 51}{space 3}0.183{col 59}{space 4} -.014894{col 72}{space 3} .0776591
{txt}{space 12}rural {c |}{col 19}{res}{space 2}-.0127351{col 31}{space 2}  .027749{col 42}{space 1}   -0.46{col 51}{space 3}0.646{col 59}{space 4}-.0672444{col 72}{space 3} .0417743
{txt}{space 13}west {c |}{col 19}{res}{space 2} .0171272{col 31}{space 2} .0217121{col 42}{space 1}    0.79{col 51}{space 3}0.431{col 59}{space 4}-.0255235{col 72}{space 3} .0597779
{txt}{space 12}south {c |}{col 19}{res}{space 2}  .008884{col 31}{space 2}  .019303{col 42}{space 1}    0.46{col 51}{space 3}0.646{col 59}{space 4}-.0290343{col 72}{space 3} .0468024
{txt}{space 10}midwest {c |}{col 19}{res}{space 2}-.0216443{col 31}{space 2} .0223781{col 42}{space 1}   -0.97{col 51}{space 3}0.334{col 59}{space 4}-.0656034{col 72}{space 3} .0223147
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .8049741{col 31}{space 2}  .037227{col 42}{space 1}   21.62{col 51}{space 3}0.000{col 59}{space 4} .7318463{col 72}{space 3} .8781019
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model2
{txt}
{com}. reg polindex  i.condition ideo3 selfpos fampos age female onlywhite edu01 income rural west south midwest 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       558
{txt}{hline 13}{c +}{hline 34}   F(15, 542)      = {res}    16.21
{txt}       Model {c |} {res} 15.8423229        15  1.05615486   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 35.3037466       542  .065136064   {txt}R-squared       ={res}    0.3097
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2906
{txt}       Total {c |} {res} 51.1460695       557  .091824182   {txt}Root MSE        =   {res} .25522

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2} .0457835{col 26}{space 2}  .030765{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4}-.0146498{col 67}{space 3} .1062168
{txt}{space 7}econ  {c |}{col 14}{res}{space 2} .0415911{col 26}{space 2} .0305383{col 37}{space 1}    1.36{col 46}{space 3}0.174{col 54}{space 4}-.0183968{col 67}{space 3}  .101579
{txt}health/econ  {c |}{col 14}{res}{space 2} .0397079{col 26}{space 2} .0304539{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.0201143{col 67}{space 3}   .09953
{txt}{space 12} {c |}
{space 7}ideo3 {c |}{col 14}{res}{space 2}-.3489163{col 26}{space 2} .0255876{col 37}{space 1}  -13.64{col 46}{space 3}0.000{col 54}{space 4}-.3991794{col 67}{space 3}-.2986533
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} -.067404{col 26}{space 2} .0463645{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-.1584802{col 67}{space 3} .0236722
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0050854{col 26}{space 2} .0226567{col 37}{space 1}    0.22{col 46}{space 3}0.822{col 54}{space 4}-.0394203{col 67}{space 3} .0495911
{txt}{space 8}ageq {c |}{col 14}{res}{space 2}-7.08e-06{col 26}{space 2} .0008618{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-.0016999{col 67}{space 3} .0016857
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0274543{col 26}{space 2} .0226742{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.0170858{col 67}{space 3} .0719943
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0373798{col 26}{space 2} .0256539{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0877729{col 67}{space 3} .0130134
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0398375{col 26}{space 2} .0487534{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4}-.0559313{col 67}{space 3} .1356063
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0090271{col 26}{space 2} .0367026{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.0811238{col 67}{space 3} .0630697
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0428952{col 26}{space 2} .0430508{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4}-.1274621{col 67}{space 3} .0416718
{txt}{space 8}west {c |}{col 14}{res}{space 2} .0370895{col 26}{space 2}  .033759{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.0292251{col 67}{space 3}  .103404
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0170079{col 26}{space 2} .0299362{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.0758131{col 67}{space 3} .0417973
{txt}{space 5}midwest {c |}{col 14}{res}{space 2} -.028622{col 26}{space 2} .0348289{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.0970382{col 67}{space 3} .0397942
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .868631{col 26}{space 2} .0564971{col 37}{space 1}   15.37{col 46}{space 3}0.000{col 54}{space 4} .7576509{col 67}{space 3} .9796112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model3
{txt}
{com}. reg polindex  i.condition##c.ideo3 selfpos fampos age female onlywhite edu01 income rural west south midwest 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       558
{txt}{hline 13}{c +}{hline 34}   F(18, 539)      = {res}    13.99
{txt}       Model {c |} {res} 16.2830806        18  .904615588   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 34.8629889       539   .06468087   {txt}R-squared       ={res}    0.3184
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2956
{txt}       Total {c |} {res} 51.1460695       557  .091824182   {txt}Root MSE        =   {res} .25432

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         polindex{col 19}{c |} Coefficient{col 31}  Std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}condition {c |}
{space 10}health  {c |}{col 19}{res}{space 2}-.0023806{col 31}{space 2} .0427527{col 42}{space 1}   -0.06{col 51}{space 3}0.956{col 59}{space 4}-.0863629{col 72}{space 3} .0816016
{txt}{space 12}econ  {c |}{col 19}{res}{space 2} .0107023{col 31}{space 2} .0435045{col 42}{space 1}    0.25{col 51}{space 3}0.806{col 59}{space 4}-.0747569{col 72}{space 3} .0961615
{txt}{space 5}health/econ  {c |}{col 19}{res}{space 2}-.0339334{col 31}{space 2} .0419311{col 42}{space 1}   -0.81{col 51}{space 3}0.419{col 59}{space 4}-.1163017{col 72}{space 3}  .048435
{txt}{space 17} {c |}
{space 12}ideo3 {c |}{col 19}{res}{space 2}-.4381551{col 31}{space 2}   .04792{col 42}{space 1}   -9.14{col 51}{space 3}0.000{col 59}{space 4} -.532288{col 72}{space 3}-.3440222
{txt}{space 17} {c |}
condition#c.ideo3 {c |}
{space 10}health  {c |}{col 19}{res}{space 2} .1113948{col 31}{space 2}   .06766{col 42}{space 1}    1.65{col 51}{space 3}0.100{col 59}{space 4}-.0215148{col 72}{space 3} .2443043
{txt}{space 12}econ  {c |}{col 19}{res}{space 2} .0767421{col 31}{space 2} .0677184{col 42}{space 1}    1.13{col 51}{space 3}0.258{col 59}{space 4}-.0562823{col 72}{space 3} .2097664
{txt}{space 5}health/econ  {c |}{col 19}{res}{space 2} .1698528{col 31}{space 2} .0666584{col 42}{space 1}    2.55{col 51}{space 3}0.011{col 59}{space 4} .0389107{col 72}{space 3} .3007949
{txt}{space 17} {c |}
{space 10}selfpos {c |}{col 19}{res}{space 2}-.0608511{col 31}{space 2} .0464491{col 42}{space 1}   -1.31{col 51}{space 3}0.191{col 59}{space 4}-.1520946{col 72}{space 3} .0303924
{txt}{space 11}fampos {c |}{col 19}{res}{space 2} .0083214{col 31}{space 2} .0226282{col 42}{space 1}    0.37{col 51}{space 3}0.713{col 59}{space 4}-.0361289{col 72}{space 3} .0527717
{txt}{space 13}ageq {c |}{col 19}{res}{space 2} .0001223{col 31}{space 2} .0008629{col 42}{space 1}    0.14{col 51}{space 3}0.887{col 59}{space 4}-.0015728{col 72}{space 3} .0018174
{txt}{space 11}female {c |}{col 19}{res}{space 2} .0278453{col 31}{space 2} .0226317{col 42}{space 1}    1.23{col 51}{space 3}0.219{col 59}{space 4}-.0166117{col 72}{space 3} .0723024
{txt}{space 8}onlywhite {c |}{col 19}{res}{space 2}-.0399713{col 31}{space 2} .0256079{col 42}{space 1}   -1.56{col 51}{space 3}0.119{col 59}{space 4}-.0902749{col 72}{space 3} .0103324
{txt}{space 12}edu01 {c |}{col 19}{res}{space 2} .0403946{col 31}{space 2} .0486522{col 42}{space 1}    0.83{col 51}{space 3}0.407{col 59}{space 4}-.0551767{col 72}{space 3} .1359658
{txt}{space 11}income {c |}{col 19}{res}{space 2}-.0088233{col 31}{space 2} .0366048{col 42}{space 1}   -0.24{col 51}{space 3}0.810{col 59}{space 4}-.0807289{col 72}{space 3} .0630823
{txt}{space 12}rural {c |}{col 19}{res}{space 2}-.0458821{col 31}{space 2}  .043117{col 42}{space 1}   -1.06{col 51}{space 3}0.288{col 59}{space 4}-.1305801{col 72}{space 3} .0388158
{txt}{space 13}west {c |}{col 19}{res}{space 2} .0404695{col 31}{space 2} .0337368{col 42}{space 1}    1.20{col 51}{space 3}0.231{col 59}{space 4}-.0258022{col 72}{space 3} .1067412
{txt}{space 12}south {c |}{col 19}{res}{space 2} -.012352{col 31}{space 2} .0299935{col 42}{space 1}   -0.41{col 51}{space 3}0.681{col 59}{space 4}-.0712705{col 72}{space 3} .0465664
{txt}{space 10}midwest {c |}{col 19}{res}{space 2}-.0256526{col 31}{space 2} .0347717{col 42}{space 1}   -0.74{col 51}{space 3}0.461{col 59}{space 4}-.0939573{col 72}{space 3}  .042652
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}  .898641{col 31}{space 2} .0578442{col 42}{space 1}   15.54{col 51}{space 3}0.000{col 59}{space 4} .7850132{col 72}{space 3} 1.012269
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model4
{txt}
{com}. 
. esttab model1 model2 model3 model4, label b(2) se r2 star(+ 0.10 * 0.05 ** 0.01)  ///
>   title(Table A3: Study 1)
{res}
{txt}Table A3: Study 1
{txt}{hline 80}
{txt}                              (1)            (2)            (3)            (4)  
{txt}                       behavindex     behavindex       polindex       polindex  
{txt}{hline 80}
{txt}control             {res}         0.00           0.00           0.00           0.00  {txt}
                    {res} {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}  {txt}

{txt}health              {res}         0.03           0.01           0.05          -0.00  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}econ                {res}         0.03           0.01           0.04           0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}health/econ         {res}         0.04+         -0.02           0.04          -0.03  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}ideo3               {res}        -0.17**        -0.22**        -0.35**        -0.44**{txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}R tested COVID pos~e{res}        -0.04          -0.03          -0.07          -0.06  {txt}
                    {res} {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}family/friends tes~i{res}         0.03+          0.03+          0.01           0.01  {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}ageq                {res}         0.00*          0.00*         -0.00           0.00  {txt}
                    {res} {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}  {txt}

{txt}female              {res}        -0.00          -0.00           0.03           0.03  {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}onlywhite           {res}        -0.03+         -0.03+         -0.04          -0.04  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}edu01               {res}         0.06*          0.06*          0.04           0.04  {txt}
                    {res} {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}income              {res}         0.03           0.03          -0.01          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}rural               {res}        -0.01          -0.01          -0.04          -0.05  {txt}
                    {res} {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}west                {res}         0.01           0.02           0.04           0.04  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}south               {res}         0.01           0.01          -0.02          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}midwest             {res}        -0.02          -0.02          -0.03          -0.03  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}control # ideo3     {res}                        0.00                          0.00  {txt}
                    {res}                {ralign 12:{txt:(}.{txt:)}}                  {ralign 12:{txt:(}.{txt:)}}  {txt}

{txt}health # ideo3      {res}                        0.04                          0.11  {txt}
                    {res}                {ralign 12:{txt:(}0.04{txt:)}}                  {ralign 12:{txt:(}0.07{txt:)}}  {txt}

{txt}econ # ideo3        {res}                        0.03                          0.08  {txt}
                    {res}                {ralign 12:{txt:(}0.04{txt:)}}                  {ralign 12:{txt:(}0.07{txt:)}}  {txt}

{txt}health/econ # ideo3 {res}                        0.13**                        0.17* {txt}
                    {res}                {ralign 12:{txt:(}0.04{txt:)}}                  {ralign 12:{txt:(}0.07{txt:)}}  {txt}

{txt}Constant            {res}         0.79**         0.80**         0.87**         0.90**{txt}
                    {res} {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.06{txt:)}}   {ralign 12:{txt:(}0.06{txt:)}}  {txt}
{txt}{hline 80}
{txt}Observations        {res}          558            558            558            558  {txt}
{txt}R-squared           {res}        0.196          0.212          0.310          0.318  {txt}
{txt}{hline 80}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01

{com}. 
. ///*Study 2
> ///*use jeps study 2 replication data.dta

{txt}end of do-file

{com}. use "C:\Users\smithb\Documents\research\conspiracy\jeps study 2 replication data.dta"

. do "C:\Users\smithb\AppData\Local\Temp\STD2f00_000000.tmp"
{txt}
{com}. ///*Data coding
> 
. ///*framing condition
> ///gen condition=.
> ///replace condition=0 if bas_duration_controlmanip!=.
> ///replace condition=1 if bas_duration_healthmanip!=.
> ///replace condition=2 if bas_duration_econmanip!=.
> ///replace condition=3 if bas_duration_healtheconmanip!=.
> ///label define con 0 "control" 1 "health" 2 "econ" 3 "health/econ"
> ///label val condition con
> ///tab condition
> 
. ///gen health=0
> ///replace health=1 if condition==1
> ///tab health
> 
. ///gen econ=0
> ///replace econ=1 if condition==2
> ///tab econ
> 
. ///gen combined=0
> ///replace combined=1 if condition==3
> ///tab combined
> 
. ///*attention check
> ///tab bas_attncheck
> ///tab bas_attncheck condition
> ///gen attcorrect=0
> ///replace attcorrect=1 if condition==0 & bas_attncheck==2
> ///replace attcorrect=1 if condition>=1 & bas_attncheck==1
> ///tab attcorrect
> 
. ///*individual behavior attitudes
> ///tab bas_healthbehav1
> ///gen wash=(6-bas_healthbehav1)/5
> ///label var wash "will wash hands more"
> ///label define likely 0 "unlikely" 1 "likely"
> ///label val wash likely
> ///tab bas_healthbehav1 wash
> 
. ///tab bas_healthbehav2
> ///gen socdist=(6-bas_healthbehav2)/5
> ///label var socdist "will socially distance"
> ///label val socdist likely
> ///tab bas_healthbehav2 socdist
> 
. ///tab bas_healthbehav3
> ///gen trips=(6-bas_healthbehav3)/5
> ///label var trips "will reduce trips outside home"
> ///label val trips likely
> ///tab bas_healthbehav3 trips
> 
. ///tab bas_healthbehav4
> ///gen mask=(6-bas_healthbehav4)/5
> ///label var mask "will wear mask"
> ///label val mask likely
> ///tab bas_healthbehav4 mask
> 
. ///tab bas_healthbehav5
> ///gen vaccine=(6-bas_healthbehav5)/5
> ///label var vaccine "will get vaccine"
> ///label val vaccine likely
> ///tab bas_healthbehav5 vaccine
> 
. ///tab bas_healthbehav6
> ///gen buyonline=(6-bas_healthbehav6)/5
> ///label var buyonline "will buy online"
> ///label val buyonline likely
> ///tab bas_healthbehav6 buyonline
> 
. ///tab bas_healthbehav9
> ///gen maskindoors=(6-bas_healthbehav9)/5
> ///label var maskindoors "will wear mask indoors"
> ///label val maskindoors likely
> ///tab bas_healthbehav9 maskindoors
> 
. ///tab bas_healthbehav7
> ///gen crowded=(6-bas_healthbehav7)/5
> ///label var crowded "will avoid crowds"
> ///label val crowded likely
> ///tab bas_healthbehav7 crowded
> 
. ///tab bas_healthbehav8
> ///gen avoidnovax=(6-bas_healthbehav8)/5
> ///label var avoidnovax "will avoid unvaccinated"
> ///label val avoidnovax likely
> ///tab bas_healthbehav8 avoidnovax
> 
. ///*policy attitudes
> ///tab bas_healthpol1
> ///gen pol_mask=(6-bas_healthpol1)/5
> ///label define pol 0 "disapprove" 1 "approve"
> ///label var pol_mask "mask mandate"
> ///label val pol_mask pol
> ///tab bas_healthpol1 pol_mask
> 
. ///tab bas_healthpol2
> ///gen pol_worship=(6-bas_healthpol2)/5
> ///label var pol_worship "worship limits"
> ///label val pol_worship pol
> ///tab bas_healthpol2 pol_worship
> 
. ///tab bas_healthpol3
> ///gen pol_dining=(6-bas_healthpol3)/5
> ///label var pol_dining "dining limits"
> ///label val pol_dining pol
> ///tab bas_healthpol3 pol_dining
> 
. ///tab bas_healthpol4
> ///gen pol_lockdown=(6-bas_healthpol4)/5
> ///label var pol_lockdown "lockdown"
> ///label val pol_lockdown pol
> ///tab bas_healthpol4 pol_lockdown
> 
. ///tab bas_healthpol5
> ///gen pol_school=(6-bas_healthpol5)/5
> ///label var pol_school "school closure"
> ///label val pol_school pol
> ///tab bas_healthpol5 pol_school
> 
. ///tab bas_healthpol6
> ///gen pol_state=(6-bas_healthpol6)/5
> ///label var pol_state "limit interstate travel"
> ///label val pol_state pol
> ///tab bas_healthpol6 pol_state
> 
. ///tab bas_healthpol7
> ///gen pol_national=(6-bas_healthpol7)/5
> ///label var pol_national "limit international travel"
> ///label val pol_national pol
> ///tab bas_healthpol7 pol_national
> 
. ///tab bas_healthpol8
> ///gen pol_pass=(6-bas_healthpol8)/5
> ///label var pol_pass "vaccine passports"
> ///label val pol_pass pol
> ///tab bas_healthpol8 pol_pass
> 
. ///tab bas_healthpol9
> ///gen pol_mustvax=(6-bas_healthpol9)/5
> ///label var pol_mustvax "vaccine mandate"
> ///label val pol_mustvax pol
> ///tab bas_healthpol9 pol_mustvax
> 
. ///*ideology
> ///tab ideo
> ///replace ideo=(ideo-1)/6
> ///label define ideo 0 "lib" 1 "con"
> ///label val ideo ideo
> ///tab ideo
> 
. ///gen ideo3=ideo
> ///replace ideo3=0 if ideo<.5
> ///replace ideo3=1 if ideo>.5
> ///label values ideo ideo
> ///tab ideo3
> 
. ///*Party ID
> ///tab pid_lucid
> ///gen pid=(pid_lucid-1)/6
> ///label define pid 0 "strong dem" 1 "strong rep"
> ///label values pid pid
> ///tab pid pid_lucid
> 
. ///*age (coded in years)
> ///summ age
> 
. ///*gender (male/other = 0, female = 1)
> ///tab female
> 
. ///*race/ethnicity
> ///tab race_lucid
> ///tab hispanic_lucid
> ///tab race_lucid hispanic_lucid
> 
. ///*variable for non-hispanic white
> ///gen onlywhite=0 if race_lucid!=.
> ///replace onlywhite=1 if race_lucid==1 & hispanic_lucid==0
> ///tab onlywhite race_lucid
> ///tab onlywhite hispanic_lucid
> 
. ///*education
> ///*use 'educ_lucid' to look at the distribution of responses. use 'edu01' in regressions.
> ///tab educ_lucid
> ///gen edu01=(educ_lucid-1)/4
> ///tab edu01 educ_lucid
> 
. ///*household income
> ///tab hhi_lucid
> ///gen incomefull=(hhi_lucid-1)/23
> ///label define income 0 "<15k" 1 "250k+"
> ///label values incomefull income
> ///tab hhi_lucid incomefull
> 
. ///*census region
> ///*state of residence
> ///tab state
> 
. ///gen west=0 if state!=.
> ///replace west=1 if state==49 | state==39 | state==6 | state==28 | state==14 | state==52 | state==46 | state==30 | state==7 | state==4 | state==33 | state==13 | state==3
> ///tab west
> 
. ///gen midwest=0 if state!=.
> ///replace midwest=1 if state==36 | state==43 | state==29 | state==18 | state==25 | state==17 | state==27 | state==51 | state==15 | state==24 | state==16 |state==37
> ///tab midwest
> 
. ///gen south=0 if state!=.
> ///replace south=1 if state==38 | state==45 | state==5 | state==20 | state==19 | state==44 | state==26 | state==2 | state==9 | state==22 | state==50 | state==10 | state==48 | state==35 | state==42 | state==12 | state==11
> ///tab south
> 
. ///gen northeast=0 if state!=.
> ///replace northeast=1 if state==21 | state==31 | state==47 | state==23 | state==8 | state==41 | state==34 | state==32 | state==40
> ///tab northeast
> 
. ///*urban/rural
> ///tab rurality
> ///gen rural=(rurality)/4
> ///label define rural 0 "urban" 1 "rural"
> ///label val rural rural
> ///tab rural
> ///tab rural rurality
> 
. ///*COVID demographics
> ///tab covidpos_you
> ///gen selfpos=2-covidpos_you
> ///label define ny 0 "no" 1 "yes"
> ///label val selfpos ny
> ///label var selfpos "R tested COVID positive"
> ///tab covidpos_you selfpos
> 
. ///tab covidpos_family
> ///gen fampos=2-covidpos_family
> ///label val fampos ny
> ///label var fampos "family/friends tested COVID positive"
> ///tab covidpos_family fampos
> 
. ///*Indices creation
> 
. ///*Individual behavior
> alpha wash socdist trips mask vaccine buyonline maskindoors crowded avoidnovax, item 

{txt}Test scale = mean(unstandardized items)

                                                            Average
                             Item-test     Item-rest       interitem
Item         {c |}  Obs  Sign   correlation   correlation     covariance      alpha
{hline 13}{c +}{hline 65}
wash{col 14}{c |}{res}{col 16}1958{col 24}+{col 31} 0.6625{col 45} 0.5904{col 59} .0557402{col 73} 0.9101
{txt}socdist{col 14}{c |}{res}{col 16}1958{col 24}+{col 31} 0.7962{col 45} 0.7459{col 59} .0528679{col 73} 0.9012
{txt}trips{col 14}{c |}{res}{col 16}1939{col 24}+{col 31} 0.8325{col 45} 0.7803{col 59} .0500345{col 73} 0.8972
{txt}mask{col 14}{c |}{res}{col 16}1954{col 24}+{col 31} 0.8535{col 45} 0.8053{col 59} .0491715{col 73} 0.8953
{txt}vaccine{col 14}{c |}{res}{col 16}1954{col 24}+{col 31} 0.7118{col 45} 0.6119{col 59} .0510294{col 73} 0.9106
{txt}buyonline{col 14}{c |}{res}{col 16}1954{col 24}+{col 31} 0.6672{col 45} 0.5679{col 59} .0531019{col 73} 0.9124
{txt}maskindoors{col 14}{c |}{res}{col 16}1958{col 24}+{col 31} 0.7901{col 45} 0.7150{col 59} .0493129{col 73} 0.9021
{txt}crowded{col 14}{c |}{res}{col 16}1945{col 24}+{col 31} 0.8167{col 45} 0.7649{col 59} .0512771{col 73} 0.8989
{txt}avoidnovax{col 14}{c |}{res}{col 16}1957{col 24}+{col 31} 0.8258{col 45} 0.7627{col 59}  .048569{col 73} 0.8982
{txt}{hline 13}{c +}{hline 65}
Test scale{col 14}{c |}{res}{col 59} .0512335{col 73} 0.9129
{txt}{hline 13}{c BT}{hline 65}

{com}. ///egen behavmiss=rowmiss(wash socdist trips mask vaccine buyonline maskindoors crowded avoidnovax)
> ///egen behavindex=rowmean(wash socdist trips mask vaccine buyonline maskindoors crowded avoidnovax) if behavmiss<5
> ///label value behavindex likely
> ///replace behavindex=round(behavindex, .01)
> ///fre behavmiss
> ///fre behavindex
> 
. ///*Policy support
> alpha pol_mask pol_worship pol_dining pol_lockdown pol_school pol_state pol_national pol_pass pol_mustvax, item

{txt}Test scale = mean(unstandardized items)

                                                            Average
                             Item-test     Item-rest       interitem
Item         {c |}  Obs  Sign   correlation   correlation     covariance      alpha
{hline 13}{c +}{hline 65}
pol_mask{col 14}{c |}{res}{col 16}1955{col 24}+{col 31} 0.8484{col 45} 0.8052{col 59} .0898951{col 73} 0.9412
{txt}pol_worship{col 14}{c |}{res}{col 16}1952{col 24}+{col 31} 0.8610{col 45} 0.8199{col 59} .0889814{col 73} 0.9404
{txt}pol_dining{col 14}{c |}{res}{col 16}1953{col 24}+{col 31} 0.8687{col 45} 0.8319{col 59}  .089676{col 73} 0.9399
{txt}pol_lockdown{col 14}{c |}{res}{col 16}1948{col 24}+{col 31} 0.8607{col 45} 0.8187{col 59} .0885942{col 73} 0.9404
{txt}pol_school{col 14}{c |}{res}{col 16}1950{col 24}+{col 31} 0.8424{col 45} 0.7982{col 59} .0901807{col 73} 0.9415
{txt}pol_state{col 14}{c |}{res}{col 16}1943{col 24}+{col 31} 0.8501{col 45} 0.8067{col 59} .0895541{col 73} 0.9411
{txt}pol_national{col 14}{c |}{res}{col 16}1951{col 24}+{col 31} 0.7822{col 45} 0.7276{col 59}  .093397{col 73} 0.9452
{txt}pol_pass{col 14}{c |}{res}{col 16}1950{col 24}+{col 31} 0.8474{col 45} 0.7992{col 59} .0879899{col 73} 0.9415
{txt}pol_mustvax{col 14}{c |}{res}{col 16}1951{col 24}+{col 31} 0.8139{col 45} 0.7545{col 59} .0885944{col 73} 0.9443
{txt}{hline 13}{c +}{hline 65}
Test scale{col 14}{c |}{res}{col 59} .0896514{col 73} 0.9479
{txt}{hline 13}{c BT}{hline 65}

{com}. ///egen polmiss=rowmiss(pol_mask pol_worship pol_dining pol_lockdown pol_school pol_state pol_national pol_pass pol_mustvax)
> ///egen polindex=rowmean(pol_mask pol_worship pol_dining pol_lockdown pol_school pol_state pol_national pol_pass pol_mustvax) if polmiss<5
> ///label value polindex pol
> ///replace polindex=round(polindex, .01)
> ///fre polmiss
> ///fre polindex
> 
. ///*Analyses
> 
. ///*Table 2 - Study 2
> reg behavindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(15, 1534)     = {res}    25.23
{txt}       Model {c |} {res} 17.3692072        15  1.15794715   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 70.3916552     1,534   .04588765   {txt}R-squared       ={res}    0.1979
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1901
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res} .21421

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0352554{col 26}{space 2} .0157727{col 37}{space 1}   -2.24{col 46}{space 3}0.026{col 54}{space 4}-.0661937{col 67}{space 3}-.0043172
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0346148{col 26}{space 2} .0158907{col 37}{space 1}   -2.18{col 46}{space 3}0.030{col 54}{space 4}-.0657847{col 67}{space 3}-.0034449
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0184209{col 26}{space 2} .0158026{col 37}{space 1}   -1.17{col 46}{space 3}0.244{col 54}{space 4}-.0494179{col 67}{space 3} .0125762
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.3255254{col 26}{space 2} .0198325{col 37}{space 1}  -16.41{col 46}{space 3}0.000{col 54}{space 4}-.3644271{col 67}{space 3}-.2866238
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} .0077501{col 26}{space 2} .0174569{col 37}{space 1}    0.44{col 46}{space 3}0.657{col 54}{space 4}-.0264919{col 67}{space 3}  .041992
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0115186{col 26}{space 2}  .011326{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.0106974{col 67}{space 3} .0337346
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0017123{col 26}{space 2} .0003471{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} .0010316{col 67}{space 3} .0023931
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0307678{col 26}{space 2} .0111288{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .0089386{col 67}{space 3}  .052597
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0457376{col 26}{space 2} .0131576{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4}-.0715464{col 67}{space 3}-.0199289
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0225307{col 26}{space 2} .0232612{col 37}{space 1}    0.97{col 46}{space 3}0.333{col 54}{space 4}-.0230965{col 67}{space 3} .0681579
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0448538{col 26}{space 2} .0208966{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .0038648{col 67}{space 3} .0858427
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0314147{col 26}{space 2} .0168503{col 37}{space 1}   -1.86{col 46}{space 3}0.062{col 54}{space 4}-.0644667{col 67}{space 3} .0016373
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0200538{col 26}{space 2} .0174049{col 37}{space 1}   -1.15{col 46}{space 3}0.249{col 54}{space 4}-.0541936{col 67}{space 3} .0140861
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0299356{col 26}{space 2} .0152173{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4}-.0597845{col 67}{space 3}-.0000868
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0756965{col 26}{space 2} .0173633{col 37}{space 1}   -4.36{col 46}{space 3}0.000{col 54}{space 4}-.1097547{col 67}{space 3}-.0416382
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8621621{col 26}{space 2} .0283113{col 37}{space 1}   30.45{col 46}{space 3}0.000{col 54}{space 4} .8066292{col 67}{space 3}  .917695
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model1
{txt}
{com}. test 1.condition=3.condition

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.condition - 3.condition = 0{p_end}

{txt}       F(  1,  1534) ={res}    1.25
{txt}{col 13}Prob > F ={res}    0.2640
{txt}
{com}. test 2.condition=3.condition

{p 0 7}{space 1}{text:( 1)}{space 1} {res}2.condition - 3.condition = 0{p_end}

{txt}       F(  1,  1534) ={res}    1.13
{txt}{col 13}Prob > F ={res}    0.2875
{txt}
{com}. 
. reg behavindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(18, 1531)     = {res}    21.09
{txt}       Model {c |} {res} 17.4375188        18  .968751047   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 70.3233436     1,531  .045932948   {txt}R-squared       ={res}    0.1987
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1893
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res} .21432

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0050875{col 30}{space 2} .0316389{col 41}{space 1}   -0.16{col 50}{space 3}0.872{col 58}{space 4}-.0671476{col 71}{space 3} .0569726
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0065728{col 30}{space 2} .0317092{col 41}{space 1}   -0.21{col 50}{space 3}0.836{col 58}{space 4}-.0687709{col 71}{space 3} .0556253
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0007526{col 30}{space 2} .0313332{col 41}{space 1}   -0.02{col 50}{space 3}0.981{col 58}{space 4}-.0622132{col 71}{space 3}  .060708
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.2854348{col 30}{space 2} .0415799{col 41}{space 1}   -6.86{col 50}{space 3}0.000{col 58}{space 4}-.3669943{col 71}{space 3}-.2038753
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0616279{col 30}{space 2}  .056023{col 41}{space 1}   -1.10{col 50}{space 3}0.271{col 58}{space 4}-.1715178{col 71}{space 3} .0482619
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0574173{col 30}{space 2} .0563395{col 41}{space 1}   -1.02{col 50}{space 3}0.308{col 58}{space 4} -.167928{col 71}{space 3} .0530934
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0361967{col 30}{space 2} .0544476{col 41}{space 1}   -0.66{col 50}{space 3}0.506{col 58}{space 4}-.1429966{col 71}{space 3} .0706031
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2} .0076315{col 30}{space 2} .0174815{col 41}{space 1}    0.44{col 50}{space 3}0.663{col 58}{space 4}-.0266586{col 71}{space 3} .0419216
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0113587{col 30}{space 2} .0113329{col 41}{space 1}    1.00{col 50}{space 3}0.316{col 58}{space 4} -.010871{col 71}{space 3} .0335884
{txt}{space 13}age {c |}{col 18}{res}{space 2}  .001715{col 30}{space 2} .0003474{col 41}{space 1}    4.94{col 50}{space 3}0.000{col 58}{space 4} .0010335{col 71}{space 3} .0023965
{txt}{space 10}female {c |}{col 18}{res}{space 2}  .030952{col 30}{space 2} .0111557{col 41}{space 1}    2.77{col 50}{space 3}0.006{col 58}{space 4} .0090699{col 71}{space 3} .0528341
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0456697{col 30}{space 2} .0131647{col 41}{space 1}   -3.47{col 50}{space 3}0.001{col 58}{space 4}-.0714925{col 71}{space 3}-.0198469
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2}  .023103{col 30}{space 2} .0233072{col 41}{space 1}    0.99{col 50}{space 3}0.322{col 58}{space 4}-.0226144{col 71}{space 3} .0688204
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0456939{col 30}{space 2} .0209188{col 41}{space 1}    2.18{col 50}{space 3}0.029{col 58}{space 4} .0046614{col 71}{space 3} .0867264
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0316479{col 30}{space 2} .0168762{col 41}{space 1}   -1.88{col 50}{space 3}0.061{col 58}{space 4}-.0647508{col 71}{space 3} .0014551
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0195968{col 30}{space 2} .0174217{col 41}{space 1}   -1.12{col 50}{space 3}0.261{col 58}{space 4}-.0537697{col 71}{space 3}  .014576
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0298989{col 30}{space 2} .0152322{col 41}{space 1}   -1.96{col 50}{space 3}0.050{col 58}{space 4}-.0597771{col 71}{space 3}-.0000207
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0757451{col 30}{space 2} .0173797{col 41}{space 1}   -4.36{col 50}{space 3}0.000{col 58}{space 4}-.1098356{col 71}{space 3}-.0416546
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8417768{col 30}{space 2} .0334613{col 41}{space 1}   25.16{col 50}{space 3}0.000{col 58}{space 4} .7761419{col 71}{space 3} .9074117
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model2
{txt}
{com}. test 1.condition#c.ideo=3.condition#c.ideo

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.condition#c.ideo - 3.condition#c.ideo = 0{p_end}

{txt}       F(  1,  1531) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6262
{txt}
{com}. test 2.condition#c.ideo=3.condition#c.ideo

{p 0 7}{space 1}{text:( 1)}{space 1} {res}2.condition#c.ideo - 3.condition#c.ideo = 0{p_end}

{txt}       F(  1,  1531) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6868
{txt}
{com}. 
. reg polindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(15, 1533)     = {res}    34.16
{txt}       Model {c |} {res}  37.019219        15  2.46794793   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 110.762595     1,533  .072252182   {txt}R-squared       ={res}    0.2505
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2432
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res}  .2688

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0383996{col 26}{space 2} .0197917{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-.0772212{col 67}{space 3}  .000422
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0500743{col 26}{space 2} .0199399{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4}-.0891866{col 67}{space 3} -.010962
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0048371{col 26}{space 2}   .01984{col 37}{space 1}   -0.24{col 46}{space 3}0.807{col 54}{space 4}-.0437536{col 67}{space 3} .0340793
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.5018956{col 26}{space 2} .0248991{col 37}{space 1}  -20.16{col 46}{space 3}0.000{col 54}{space 4}-.5507354{col 67}{space 3}-.4530557
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2}-.0184601{col 26}{space 2} .0219081{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-.0614332{col 67}{space 3} .0245129
{txt}{space 6}fampos {c |}{col 14}{res}{space 2}-.0064547{col 26}{space 2} .0142185{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.0343445{col 67}{space 3}  .021435
{txt}{space 9}age {c |}{col 14}{res}{space 2}  .002031{col 26}{space 2} .0004355{col 37}{space 1}    4.66{col 46}{space 3}0.000{col 54}{space 4} .0011766{col 67}{space 3} .0028853
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0287845{col 26}{space 2}  .013968{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .0013861{col 67}{space 3}  .056183
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0423859{col 26}{space 2} .0165106{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-.0747717{col 67}{space 3}-.0100002
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2}-.0078637{col 26}{space 2} .0291991{col 37}{space 1}   -0.27{col 46}{space 3}0.788{col 54}{space 4}-.0651382{col 67}{space 3} .0494108
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0212131{col 26}{space 2} .0262259{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.0302295{col 67}{space 3} .0726556
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0626475{col 26}{space 2} .0211455{col 37}{space 1}   -2.96{col 46}{space 3}0.003{col 54}{space 4}-.1041247{col 67}{space 3}-.0211703
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0383913{col 26}{space 2}  .021859{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.0812679{col 67}{space 3} .0044853
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0399951{col 26}{space 2} .0190948{col 37}{space 1}   -2.09{col 46}{space 3}0.036{col 54}{space 4}-.0774497{col 67}{space 3}-.0025404
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0821722{col 26}{space 2} .0217876{col 37}{space 1}   -3.77{col 46}{space 3}0.000{col 54}{space 4}-.1249089{col 67}{space 3}-.0394355
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8681686{col 26}{space 2} .0355541{col 37}{space 1}   24.42{col 46}{space 3}0.000{col 54}{space 4} .7984287{col 67}{space 3} .9379085
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model3
{txt}
{com}. test 1.condition=3.condition

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.condition - 3.condition = 0{p_end}

{txt}       F(  1,  1533) ={res}    3.15
{txt}{col 13}Prob > F ={res}    0.0762
{txt}
{com}. test 2.condition=3.condition

{p 0 7}{space 1}{text:( 1)}{space 1} {res}2.condition - 3.condition = 0{p_end}

{txt}       F(  1,  1533) ={res}    5.60
{txt}{col 13}Prob > F ={res}    0.0180
{txt}
{com}. 
. reg polindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(18, 1530)     = {res}    28.44
{txt}       Model {c |} {res} 37.0482378        18  2.05823543   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 110.733577     1,530  .072374887   {txt}R-squared       ={res}    0.2507
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2419
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .26903

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2} -.027431{col 30}{space 2} .0397152{col 41}{space 1}   -0.69{col 50}{space 3}0.490{col 58}{space 4}-.1053329{col 71}{space 3}  .050471
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0337872{col 30}{space 2} .0398032{col 41}{space 1}   -0.85{col 50}{space 3}0.396{col 58}{space 4}-.1118617{col 71}{space 3} .0442874
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0063047{col 30}{space 2} .0393342{col 41}{space 1}   -0.16{col 50}{space 3}0.873{col 58}{space 4}-.0834595{col 71}{space 3}   .07085
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.4888016{col 30}{space 2}  .052194{col 41}{space 1}   -9.37{col 50}{space 3}0.000{col 58}{space 4}-.5911809{col 71}{space 3}-.3864223
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0224136{col 30}{space 2} .0703239{col 41}{space 1}   -0.32{col 50}{space 3}0.750{col 58}{space 4} -.160355{col 71}{space 3} .1155278
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0335145{col 30}{space 2} .0707205{col 41}{space 1}   -0.47{col 50}{space 3}0.636{col 58}{space 4}-.1722339{col 71}{space 3} .1052048
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}  .002504{col 30}{space 2} .0683836{col 41}{space 1}    0.04{col 50}{space 3}0.971{col 58}{space 4}-.1316314{col 71}{space 3} .1366394
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2}-.0181993{col 30}{space 2} .0219464{col 41}{space 1}   -0.83{col 50}{space 3}0.407{col 58}{space 4}-.0612475{col 71}{space 3}  .024849
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}-.0065626{col 30}{space 2} .0142321{col 41}{space 1}   -0.46{col 50}{space 3}0.645{col 58}{space 4} -.034479{col 71}{space 3} .0213539
{txt}{space 13}age {c |}{col 18}{res}{space 2}  .002035{col 30}{space 2} .0004361{col 41}{space 1}    4.67{col 50}{space 3}0.000{col 58}{space 4} .0011795{col 71}{space 3} .0028905
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0291778{col 30}{space 2} .0140064{col 41}{space 1}    2.08{col 50}{space 3}0.037{col 58}{space 4} .0017041{col 71}{space 3} .0566515
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0423258{col 30}{space 2} .0165254{col 41}{space 1}   -2.56{col 50}{space 3}0.011{col 58}{space 4}-.0747408{col 71}{space 3}-.0099109
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2}-.0074626{col 30}{space 2} .0292686{col 41}{space 1}   -0.25{col 50}{space 3}0.799{col 58}{space 4}-.0648734{col 71}{space 3} .0499482
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0216601{col 30}{space 2} .0262632{col 41}{space 1}    0.82{col 50}{space 3}0.410{col 58}{space 4}-.0298556{col 71}{space 3} .0731758
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0624108{col 30}{space 2} .0211851{col 41}{space 1}   -2.95{col 50}{space 3}0.003{col 58}{space 4}-.1039657{col 71}{space 3}-.0208558
{txt}{space 12}west {c |}{col 18}{res}{space 2} -.037967{col 30}{space 2} .0218886{col 41}{space 1}   -1.73{col 50}{space 3}0.083{col 58}{space 4}-.0809017{col 71}{space 3} .0049678
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0397309{col 30}{space 2} .0191204{col 41}{space 1}   -2.08{col 50}{space 3}0.038{col 58}{space 4}-.0772358{col 71}{space 3} -.002226
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0821566{col 30}{space 2}  .021816{col 41}{space 1}   -3.77{col 50}{space 3}0.000{col 58}{space 4} -.124949{col 71}{space 3}-.0393643
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8606509{col 30}{space 2} .0420217{col 41}{space 1}   20.48{col 50}{space 3}0.000{col 58}{space 4} .7782248{col 71}{space 3} .9430771
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model4
{txt}
{com}. test 1.condition#c.ideo=3.condition#c.ideo

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.condition#c.ideo - 3.condition#c.ideo = 0{p_end}

{txt}       F(  1,  1530) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7040
{txt}
{com}. test 2.condition#c.ideo=3.condition#c.ideo

{p 0 7}{space 1}{text:( 1)}{space 1} {res}2.condition#c.ideo - 3.condition#c.ideo = 0{p_end}

{txt}       F(  1,  1530) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5859
{txt}
{com}. 
. esttab model1 model2 model3 model4, label b(2) se r2 star(+ 0.10 * 0.05 ** 0.01)  ///
>   title(Table 2: Study 2)
{res}
{txt}Table 2: Study 2
{txt}{hline 80}
{txt}                              (1)            (2)            (3)            (4)  
{txt}                       behavindex     behavindex       polindex       polindex  
{txt}{hline 80}
{txt}control             {res}         0.00           0.00           0.00           0.00  {txt}
                    {res} {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}  {txt}

{txt}health              {res}        -0.04*         -0.01          -0.04+         -0.03  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}econ                {res}        -0.03*         -0.01          -0.05*         -0.03  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}health/econ         {res}        -0.02          -0.00          -0.00          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}We hear a lot.. He~v{res}        -0.33**        -0.29**        -0.50**        -0.49**{txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}R tested COVID pos~e{res}         0.01           0.01          -0.02          -0.02  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}family/friends tes~i{res}         0.01           0.01          -0.01          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}  {txt}

{txt}age                 {res}         0.00**         0.00**         0.00**         0.00**{txt}
                    {res} {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}  {txt}

{txt}R is Female?        {res}         0.03**         0.03**         0.03*          0.03* {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}  {txt}

{txt}onlywhite           {res}        -0.05**        -0.05**        -0.04*         -0.04* {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}edu01               {res}         0.02           0.02          -0.01          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}incomefull          {res}         0.04*          0.05*          0.02           0.02  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}rural               {res}        -0.03+         -0.03+         -0.06**        -0.06**{txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}west                {res}        -0.02          -0.02          -0.04+         -0.04+ {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}south               {res}        -0.03*         -0.03*         -0.04*         -0.04* {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}midwest             {res}        -0.08**        -0.08**        -0.08**        -0.08**{txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}control # We .. He~v{res}                        0.00                          0.00  {txt}
                    {res}                {ralign 12:{txt:(}.{txt:)}}                  {ralign 12:{txt:(}.{txt:)}}  {txt}

{txt}health # We h.. He~v{res}                       -0.06                         -0.02  {txt}
                    {res}                {ralign 12:{txt:(}0.06{txt:)}}                  {ralign 12:{txt:(}0.07{txt:)}}  {txt}

{txt}econ # We hea.. He~v{res}                       -0.06                         -0.03  {txt}
                    {res}                {ralign 12:{txt:(}0.06{txt:)}}                  {ralign 12:{txt:(}0.07{txt:)}}  {txt}

{txt}health/econ #.. He~v{res}                       -0.04                          0.00  {txt}
                    {res}                {ralign 12:{txt:(}0.05{txt:)}}                  {ralign 12:{txt:(}0.07{txt:)}}  {txt}

{txt}Constant            {res}         0.86**         0.84**         0.87**         0.86**{txt}
                    {res} {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}
{txt}{hline 80}
{txt}Observations        {res}         1550           1550           1549           1549  {txt}
{txt}R-squared           {res}        0.198          0.199          0.250          0.251  {txt}
{txt}{hline 80}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01

{com}.   
. ///*Footnote 8 - excluding rurality as a control
> reg behavindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull  west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,708
{txt}{hline 13}{c +}{hline 34}   F(14, 1693)     = {res}    27.04
{txt}       Model {c |} {res} 17.8437313        14  1.27455224   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 79.8071631     1,693  .047139494   {txt}R-squared       ={res}    0.1827
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1760
{txt}       Total {c |} {res} 97.6508944     1,707  .057206148   {txt}Root MSE        =   {res} .21712

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0214611{col 26}{space 2} .0152516{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4}-.0513751{col 67}{space 3} .0084529
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0275773{col 26}{space 2} .0152906{col 37}{space 1}   -1.80{col 46}{space 3}0.071{col 54}{space 4}-.0575678{col 67}{space 3} .0024131
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0117819{col 26}{space 2} .0152105{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}-.0416152{col 67}{space 3} .0180514
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.3249705{col 26}{space 2} .0191791{col 37}{space 1}  -16.94{col 46}{space 3}0.000{col 54}{space 4}-.3625876{col 67}{space 3}-.2873533
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} .0033025{col 26}{space 2} .0168352{col 37}{space 1}    0.20{col 46}{space 3}0.845{col 54}{space 4}-.0297175{col 67}{space 3} .0363225
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0159043{col 26}{space 2} .0109447{col 37}{space 1}    1.45{col 46}{space 3}0.146{col 54}{space 4}-.0055623{col 67}{space 3} .0373709
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0019077{col 26}{space 2} .0003304{col 37}{space 1}    5.77{col 46}{space 3}0.000{col 54}{space 4} .0012597{col 67}{space 3} .0025557
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0299522{col 26}{space 2} .0107158{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .0089346{col 67}{space 3} .0509697
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0468274{col 26}{space 2} .0125146{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-.0713732{col 67}{space 3}-.0222816
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0191136{col 26}{space 2} .0224253{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0248706{col 67}{space 3} .0630977
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0432863{col 26}{space 2} .0201877{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0036908{col 67}{space 3} .0828819
{txt}{space 8}west {c |}{col 14}{res}{space 2} -.012236{col 26}{space 2} .0166279{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4}-.0448494{col 67}{space 3} .0203773
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0228628{col 26}{space 2} .0145726{col 37}{space 1}   -1.57{col 46}{space 3}0.117{col 54}{space 4} -.051445{col 67}{space 3} .0057193
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0662169{col 26}{space 2} .0166487{col 37}{space 1}   -3.98{col 46}{space 3}0.000{col 54}{space 4}-.0988711{col 67}{space 3}-.0335626
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8206165{col 26}{space 2} .0262177{col 37}{space 1}   31.30{col 46}{space 3}0.000{col 54}{space 4}  .769194{col 67}{space 3} .8720391
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,708
{txt}{hline 13}{c +}{hline 34}   F(17, 1690)     = {res}    22.48
{txt}       Model {c |} {res} 18.0115294        17  1.05950173   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  79.639365     1,690  .047123885   {txt}R-squared       ={res}    0.1844
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1762
{txt}       Total {c |} {res} 97.6508944     1,707  .057206148   {txt}Root MSE        =   {res} .21708

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2} .0260267{col 30}{space 2} .0309284{col 41}{space 1}    0.84{col 50}{space 3}0.400{col 58}{space 4}-.0346352{col 71}{space 3} .0866886
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} .0121715{col 30}{space 2} .0307806{col 41}{space 1}    0.40{col 50}{space 3}0.693{col 58}{space 4}-.0482005{col 71}{space 3} .0725436
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .0217173{col 30}{space 2} .0302195{col 41}{space 1}    0.72{col 50}{space 3}0.472{col 58}{space 4}-.0375542{col 71}{space 3} .0809888
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.2618565{col 30}{space 2} .0399503{col 41}{space 1}   -6.55{col 50}{space 3}0.000{col 58}{space 4}-.3402137{col 71}{space 3}-.1834993
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0964335{col 30}{space 2}  .054694{col 41}{space 1}   -1.76{col 50}{space 3}0.078{col 58}{space 4}-.2037085{col 71}{space 3} .0108415
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0807958{col 30}{space 2} .0546061{col 41}{space 1}   -1.48{col 50}{space 3}0.139{col 58}{space 4}-.1878986{col 71}{space 3} .0263069
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0677374{col 30}{space 2} .0524624{col 41}{space 1}   -1.29{col 50}{space 3}0.197{col 58}{space 4}-.1706356{col 71}{space 3} .0351607
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2} .0030694{col 30}{space 2} .0168451{col 41}{space 1}    0.18{col 50}{space 3}0.855{col 58}{space 4}-.0299701{col 71}{space 3} .0361088
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}   .01544{col 30}{space 2} .0109458{col 41}{space 1}    1.41{col 50}{space 3}0.159{col 58}{space 4}-.0060288{col 71}{space 3} .0369088
{txt}{space 13}age {c |}{col 18}{res}{space 2}  .001916{col 30}{space 2} .0003304{col 41}{space 1}    5.80{col 50}{space 3}0.000{col 58}{space 4} .0012679{col 71}{space 3} .0025641
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0301169{col 30}{space 2}  .010737{col 41}{space 1}    2.80{col 50}{space 3}0.005{col 58}{space 4} .0090576{col 71}{space 3} .0511761
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0469809{col 30}{space 2}  .012513{col 41}{space 1}   -3.75{col 50}{space 3}0.000{col 58}{space 4}-.0715235{col 71}{space 3}-.0224382
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0199391{col 30}{space 2} .0224469{col 41}{space 1}    0.89{col 50}{space 3}0.375{col 58}{space 4}-.0240874{col 71}{space 3} .0639657
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0441768{col 30}{space 2} .0201935{col 41}{space 1}    2.19{col 50}{space 3}0.029{col 58}{space 4} .0045699{col 71}{space 3} .0837838
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0120223{col 30}{space 2}  .016633{col 41}{space 1}   -0.72{col 50}{space 3}0.470{col 58}{space 4}-.0446458{col 71}{space 3} .0206012
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0231961{col 30}{space 2} .0145831{col 41}{space 1}   -1.59{col 50}{space 3}0.112{col 58}{space 4}-.0517989{col 71}{space 3} .0054067
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0664557{col 30}{space 2} .0166548{col 41}{space 1}   -3.99{col 50}{space 3}0.000{col 58}{space 4}-.0991219{col 71}{space 3}-.0337896
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7887448{col 30}{space 2} .0314587{col 41}{space 1}   25.07{col 50}{space 3}0.000{col 58}{space 4} .7270426{col 71}{space 3} .8504469
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,706
{txt}{hline 13}{c +}{hline 34}   F(14, 1691)     = {res}    36.23
{txt}       Model {c |} {res} 37.8073379        14  2.70052413   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 126.028165     1,691  .074528779   {txt}R-squared       ={res}    0.2308
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2244
{txt}       Total {c |} {res} 163.835503     1,705  .096091204   {txt}Root MSE        =   {res}   .273

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0208604{col 26}{space 2} .0191916{col 37}{space 1}   -1.09{col 46}{space 3}0.277{col 54}{space 4}-.0585022{col 67}{space 3} .0167815
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0353025{col 26}{space 2} .0192393{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4}-.0730378{col 67}{space 3} .0024328
{txt}health/econ  {c |}{col 14}{res}{space 2} .0061917{col 26}{space 2} .0191487{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4}-.0313659{col 67}{space 3} .0437494
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.5056662{col 26}{space 2} .0241466{col 37}{space 1}  -20.94{col 46}{space 3}0.000{col 54}{space 4}-.5530265{col 67}{space 3}-.4583059
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} -.025919{col 26}{space 2} .0211717{col 37}{space 1}   -1.22{col 46}{space 3}0.221{col 54}{space 4}-.0674445{col 67}{space 3} .0156065
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0015454{col 26}{space 2} .0137717{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4} -.025466{col 67}{space 3} .0285569
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0021103{col 26}{space 2} .0004158{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4} .0012946{col 67}{space 3} .0029259
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0242417{col 26}{space 2} .0134819{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0022013{col 67}{space 3} .0506846
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0431154{col 26}{space 2} .0157393{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-.0739859{col 67}{space 3}-.0122449
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2}-.0099271{col 26}{space 2} .0282489{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4}-.0653337{col 67}{space 3} .0454794
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0169335{col 26}{space 2} .0253953{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4} -.032876{col 67}{space 3} .0667431
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0246335{col 26}{space 2} .0209377{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}   -.0657{col 67}{space 3}  .016433
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0327453{col 26}{space 2} .0183397{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-.0687163{col 67}{space 3} .0032257
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0740658{col 26}{space 2} .0209478{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-.1151521{col 67}{space 3}-.0329795
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8113627{col 26}{space 2} .0330083{col 37}{space 1}   24.58{col 46}{space 3}0.000{col 54}{space 4} .7466213{col 67}{space 3} .8761041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,706
{txt}{hline 13}{c +}{hline 34}   F(17, 1688)     = {res}    29.87
{txt}       Model {c |} {res} 37.8834868        17   2.2284404   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 125.952016     1,688  .074616123   {txt}R-squared       ={res}    0.2312
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2235
{txt}       Total {c |} {res} 163.835503     1,705  .096091204   {txt}Root MSE        =   {res} .27316

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2} .0072925{col 30}{space 2} .0389276{col 41}{space 1}    0.19{col 50}{space 3}0.851{col 58}{space 4} -.069059{col 71}{space 3}  .083644
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0041029{col 30}{space 2} .0387413{col 41}{space 1}   -0.11{col 50}{space 3}0.916{col 58}{space 4}-.0800889{col 71}{space 3} .0718831
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .0264734{col 30}{space 2} .0380398{col 41}{space 1}    0.70{col 50}{space 3}0.487{col 58}{space 4}-.0481366{col 71}{space 3} .1010835
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.4640647{col 30}{space 2} .0503931{col 41}{space 1}   -9.21{col 50}{space 3}0.000{col 58}{space 4}-.5629043{col 71}{space 3}-.3652252
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0572218{col 30}{space 2} .0688995{col 41}{space 1}   -0.83{col 50}{space 3}0.406{col 58}{space 4}-.1923594{col 71}{space 3} .0779157
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0636677{col 30}{space 2} .0687848{col 41}{space 1}   -0.93{col 50}{space 3}0.355{col 58}{space 4}-.1985801{col 71}{space 3} .0712447
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0411499{col 30}{space 2} .0661322{col 41}{space 1}   -0.62{col 50}{space 3}0.534{col 58}{space 4}-.1708596{col 71}{space 3} .0885599
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2}-.0258749{col 30}{space 2} .0211998{col 41}{space 1}   -1.22{col 50}{space 3}0.222{col 58}{space 4}-.0674556{col 71}{space 3} .0157057
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0012251{col 30}{space 2} .0137841{col 41}{space 1}    0.09{col 50}{space 3}0.929{col 58}{space 4}-.0258106{col 71}{space 3} .0282607
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0021157{col 30}{space 2} .0004162{col 41}{space 1}    5.08{col 50}{space 3}0.000{col 58}{space 4} .0012993{col 71}{space 3} .0029321
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0246025{col 30}{space 2} .0135186{col 41}{space 1}    1.82{col 50}{space 3}0.069{col 58}{space 4}-.0019125{col 71}{space 3} .0511175
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0431736{col 30}{space 2}  .015749{col 41}{space 1}   -2.74{col 50}{space 3}0.006{col 58}{space 4}-.0740632{col 71}{space 3}-.0122839
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2}-.0094931{col 30}{space 2} .0282989{col 41}{space 1}   -0.34{col 50}{space 3}0.737{col 58}{space 4}-.0649978{col 71}{space 3} .0460117
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2}  .017602{col 30}{space 2} .0254213{col 41}{space 1}    0.69{col 50}{space 3}0.489{col 58}{space 4}-.0322585{col 71}{space 3} .0674625
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0243756{col 30}{space 2} .0209606{col 41}{space 1}   -1.16{col 50}{space 3}0.245{col 58}{space 4}-.0654871{col 71}{space 3} .0167359
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0328564{col 30}{space 2} .0183676{col 41}{space 1}   -1.79{col 50}{space 3}0.074{col 58}{space 4}-.0688822{col 71}{space 3} .0031693
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0743149{col 30}{space 2} .0209719{col 41}{space 1}   -3.54{col 50}{space 3}0.000{col 58}{space 4}-.1154486{col 71}{space 3}-.0331812
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7902057{col 30}{space 2} .0396052{col 41}{space 1}   19.95{col 50}{space 3}0.000{col 58}{space 4} .7125253{col 71}{space 3} .8678862
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.   
. ///*Table A4 - Study 2 Participant Demographics
> summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if attcorrect==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}      1,791    .4945096    .2824544          0          1
{txt}{space 5}selfpos {c |}{res}      1,792    .1183036    .3230574          0          1
{txt}{space 6}fampos {c |}{res}      1,786    .5307951    .4991905          0          1
{txt}{space 9}age {c |}{res}      1,792    47.58482    17.07959         18         90
{txt}{space 6}female {c |}{res}      1,792    .5273438    .4993911          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}      1,757    .7211155    .4485782          0          1
{txt}{space 7}rural {c |}{res}      1,618    .5139061    .3383014          0          1
{txt}{space 8}west {c |}{res}      1,790    .1994413    .3996921          0          1
{txt}{space 3}northeast {c |}{res}      1,790    .2067039    .4050544          0          1
{txt}{space 7}south {c |}{res}      1,790    .3977654    .4895733          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}      1,790    .1960894    .3971479          0          1
{txt}
{com}. tab educ_lucid if attcorrect==1

  {txt}education {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       LTHS {c |}{res}         48        2.70        2.70
{txt}         HS {c |}{res}        467       26.22       28.92
{txt} Some Coll. {c |}{res}        583       32.73       61.65
{txt}   Bachelor {c |}{res}        459       25.77       87.42
{txt}    Coll. + {c |}{res}        224       12.58      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,781      100.00
{txt}
{com}. tab hhi_lucid if attcorrect==1

                 {txt}hhi {c |}      Freq.     Percent        Cum.
{hline 21}{c +}{hline 35}
   Less than $14,999 {c |}{res}        293       16.70       16.70
{txt}  $15,000 to $19,999 {c |}{res}        107        6.10       22.81
{txt}  $20,000 to $24,999 {c |}{res}        119        6.78       29.59
{txt}  $25,000 to $29,999 {c |}{res}        115        6.56       36.15
{txt}  $30,000 to $34,999 {c |}{res}        113        6.44       42.59
{txt}  $35,000 to $39,999 {c |}{res}         80        4.56       47.15
{txt}  $40,000 to $44,999 {c |}{res}         73        4.16       51.31
{txt}  $45,000 to $49,999 {c |}{res}         89        5.07       56.39
{txt}  $50,000 to $54,999 {c |}{res}        101        5.76       62.14
{txt}  $55,000 to $59,999 {c |}{res}         63        3.59       65.74
{txt}  $60,000 to $64,999 {c |}{res}         55        3.14       68.87
{txt}  $65,000 to $69,999 {c |}{res}         40        2.28       71.15
{txt}  $70,000 to $74,999 {c |}{res}         47        2.68       73.83
{txt}  $75,000 to $79,999 {c |}{res}         55        3.14       76.97
{txt}  $80,000 to $84,999 {c |}{res}         38        2.17       79.13
{txt}  $85,000 to $89,999 {c |}{res}         30        1.71       80.84
{txt}  $90,000 to $94,999 {c |}{res}         26        1.48       82.33
{txt}  $95,000 to $99,999 {c |}{res}         44        2.51       84.83
{txt}$100,000 to $124,999 {c |}{res}        102        5.82       90.65
{txt}$125,000 to $149,999 {c |}{res}         70        3.99       94.64
{txt}$150,000 to $174,999 {c |}{res}         31        1.77       96.41
{txt}$175,000 to $199,999 {c |}{res}         27        1.54       97.95
{txt}$200,000 to $249,999 {c |}{res}         15        0.86       98.80
{txt}  $250,000 and above {c |}{res}         21        1.20      100.00
{txt}{hline 21}{c +}{hline 35}
               Total {c |}{res}      1,754      100.00
{txt}
{com}. 
. summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if condition==0 & attcorrect==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        398    .4920436     .282686          0          1
{txt}{space 5}selfpos {c |}{res}        398    .0954774    .2942431          0          1
{txt}{space 6}fampos {c |}{res}        398    .5301508    .4997183          0          1
{txt}{space 9}age {c |}{res}        398    48.26633    16.71842         18         85
{txt}{space 6}female {c |}{res}        398     .540201    .4990085          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        389    .7532134    .4316967          0          1
{txt}{space 7}rural {c |}{res}        357    .5112045    .3371026          0          1
{txt}{space 8}west {c |}{res}        398    .1834171    .3874952          0          1
{txt}{space 3}northeast {c |}{res}        398    .2160804    .4120878          0          1
{txt}{space 7}south {c |}{res}        398    .4020101    .4909211          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        398    .1984925    .3993669          0          1
{txt}
{com}. tab educ_lucid if condition==0 & attcorrect==1

  {txt}education {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       LTHS {c |}{res}          3        0.76        0.76
{txt}         HS {c |}{res}        104       26.33       27.09
{txt} Some Coll. {c |}{res}        146       36.96       64.05
{txt}   Bachelor {c |}{res}         98       24.81       88.86
{txt}    Coll. + {c |}{res}         44       11.14      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        395      100.00
{txt}
{com}. tab hhi_lucid if condition==0 & attcorrect==1

                 {txt}hhi {c |}      Freq.     Percent        Cum.
{hline 21}{c +}{hline 35}
   Less than $14,999 {c |}{res}         54       13.99       13.99
{txt}  $15,000 to $19,999 {c |}{res}         22        5.70       19.69
{txt}  $20,000 to $24,999 {c |}{res}         30        7.77       27.46
{txt}  $25,000 to $29,999 {c |}{res}         33        8.55       36.01
{txt}  $30,000 to $34,999 {c |}{res}         22        5.70       41.71
{txt}  $35,000 to $39,999 {c |}{res}         25        6.48       48.19
{txt}  $40,000 to $44,999 {c |}{res}         20        5.18       53.37
{txt}  $45,000 to $49,999 {c |}{res}         19        4.92       58.29
{txt}  $50,000 to $54,999 {c |}{res}         16        4.15       62.44
{txt}  $55,000 to $59,999 {c |}{res}         12        3.11       65.54
{txt}  $60,000 to $64,999 {c |}{res}         12        3.11       68.65
{txt}  $65,000 to $69,999 {c |}{res}          6        1.55       70.21
{txt}  $70,000 to $74,999 {c |}{res}          7        1.81       72.02
{txt}  $75,000 to $79,999 {c |}{res}         11        2.85       74.87
{txt}  $80,000 to $84,999 {c |}{res}          6        1.55       76.42
{txt}  $85,000 to $89,999 {c |}{res}          4        1.04       77.46
{txt}  $90,000 to $94,999 {c |}{res}          4        1.04       78.50
{txt}  $95,000 to $99,999 {c |}{res}         11        2.85       81.35
{txt}$100,000 to $124,999 {c |}{res}         28        7.25       88.60
{txt}$125,000 to $149,999 {c |}{res}         18        4.66       93.26
{txt}$150,000 to $174,999 {c |}{res}          8        2.07       95.34
{txt}$175,000 to $199,999 {c |}{res}          6        1.55       96.89
{txt}$200,000 to $249,999 {c |}{res}          3        0.78       97.67
{txt}  $250,000 and above {c |}{res}          9        2.33      100.00
{txt}{hline 21}{c +}{hline 35}
               Total {c |}{res}        386      100.00
{txt}
{com}. 
. summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if condition==1 & attcorrect==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        465    .4885305    .2735329          0          1
{txt}{space 5}selfpos {c |}{res}        465    .1311828    .3379638          0          1
{txt}{space 6}fampos {c |}{res}        464          .5    .5005397          0          1
{txt}{space 9}age {c |}{res}        465    47.47312    16.71915         18         85
{txt}{space 6}female {c |}{res}        465    .5225806    .5000278          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        455    .7010989    .4582803          0          1
{txt}{space 7}rural {c |}{res}        428    .5023364    .3438917          0          1
{txt}{space 8}west {c |}{res}        464    .1659483    .3724357          0          1
{txt}{space 3}northeast {c |}{res}        464     .200431     .400755          0          1
{txt}{space 7}south {c |}{res}        464    .4288793    .4954502          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        464    .2047414     .403948          0          1
{txt}
{com}. tab educ_lucid if condition==1 & attcorrect==1

  {txt}education {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       LTHS {c |}{res}         13        2.82        2.82
{txt}         HS {c |}{res}        117       25.38       28.20
{txt} Some Coll. {c |}{res}        138       29.93       58.13
{txt}   Bachelor {c |}{res}        122       26.46       84.60
{txt}    Coll. + {c |}{res}         71       15.40      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        461      100.00
{txt}
{com}. tab hhi_lucid if condition==1 & attcorrect==1

                 {txt}hhi {c |}      Freq.     Percent        Cum.
{hline 21}{c +}{hline 35}
   Less than $14,999 {c |}{res}         76       16.63       16.63
{txt}  $15,000 to $19,999 {c |}{res}         26        5.69       22.32
{txt}  $20,000 to $24,999 {c |}{res}         33        7.22       29.54
{txt}  $25,000 to $29,999 {c |}{res}         32        7.00       36.54
{txt}  $30,000 to $34,999 {c |}{res}         27        5.91       42.45
{txt}  $35,000 to $39,999 {c |}{res}         19        4.16       46.61
{txt}  $40,000 to $44,999 {c |}{res}         18        3.94       50.55
{txt}  $45,000 to $49,999 {c |}{res}         19        4.16       54.70
{txt}  $50,000 to $54,999 {c |}{res}         27        5.91       60.61
{txt}  $55,000 to $59,999 {c |}{res}         14        3.06       63.68
{txt}  $60,000 to $64,999 {c |}{res}         13        2.84       66.52
{txt}  $65,000 to $69,999 {c |}{res}         11        2.41       68.93
{txt}  $70,000 to $74,999 {c |}{res}         12        2.63       71.55
{txt}  $75,000 to $79,999 {c |}{res}         13        2.84       74.40
{txt}  $80,000 to $84,999 {c |}{res}         10        2.19       76.59
{txt}  $85,000 to $89,999 {c |}{res}         14        3.06       79.65
{txt}  $90,000 to $94,999 {c |}{res}          6        1.31       80.96
{txt}  $95,000 to $99,999 {c |}{res}         16        3.50       84.46
{txt}$100,000 to $124,999 {c |}{res}         24        5.25       89.72
{txt}$125,000 to $149,999 {c |}{res}         17        3.72       93.44
{txt}$150,000 to $174,999 {c |}{res}         10        2.19       95.62
{txt}$175,000 to $199,999 {c |}{res}         10        2.19       97.81
{txt}$200,000 to $249,999 {c |}{res}          6        1.31       99.12
{txt}  $250,000 and above {c |}{res}          4        0.88      100.00
{txt}{hline 21}{c +}{hline 35}
               Total {c |}{res}        457      100.00
{txt}
{com}. 
. summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if condition==2 & attcorrect==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        464    .4892241    .2758216          0          1
{txt}{space 5}selfpos {c |}{res}        464        .125    .3310759          0          1
{txt}{space 6}fampos {c |}{res}        460    .5673913     .495977          0          1
{txt}{space 9}age {c |}{res}        464    47.60129    18.01579         18         90
{txt}{space 6}female {c |}{res}        464    .5474138    .4982841          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        457     .726477    .4462554          0          1
{txt}{space 7}rural {c |}{res}        414    .5458937     .329182          0          1
{txt}{space 8}west {c |}{res}        464    .2306034    .4216737          0          1
{txt}{space 3}northeast {c |}{res}        464    .2112069    .4086054          0          1
{txt}{space 7}south {c |}{res}        464    .3663793    .4823348          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        464    .1918103    .3941497          0          1
{txt}
{com}. tab educ_lucid if condition==2 & attcorrect==1

  {txt}education {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       LTHS {c |}{res}         15        3.26        3.26
{txt}         HS {c |}{res}        125       27.17       30.43
{txt} Some Coll. {c |}{res}        148       32.17       62.61
{txt}   Bachelor {c |}{res}        120       26.09       88.70
{txt}    Coll. + {c |}{res}         52       11.30      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        460      100.00
{txt}
{com}. tab hhi_lucid if condition==2 & attcorrect==1

                 {txt}hhi {c |}      Freq.     Percent        Cum.
{hline 21}{c +}{hline 35}
   Less than $14,999 {c |}{res}         82       18.10       18.10
{txt}  $15,000 to $19,999 {c |}{res}         27        5.96       24.06
{txt}  $20,000 to $24,999 {c |}{res}         33        7.28       31.35
{txt}  $25,000 to $29,999 {c |}{res}         22        4.86       36.20
{txt}  $30,000 to $34,999 {c |}{res}         26        5.74       41.94
{txt}  $35,000 to $39,999 {c |}{res}         22        4.86       46.80
{txt}  $40,000 to $44,999 {c |}{res}         20        4.42       51.21
{txt}  $45,000 to $49,999 {c |}{res}         21        4.64       55.85
{txt}  $50,000 to $54,999 {c |}{res}         28        6.18       62.03
{txt}  $55,000 to $59,999 {c |}{res}         25        5.52       67.55
{txt}  $60,000 to $64,999 {c |}{res}         10        2.21       69.76
{txt}  $65,000 to $69,999 {c |}{res}         19        4.19       73.95
{txt}  $70,000 to $74,999 {c |}{res}         12        2.65       76.60
{txt}  $75,000 to $79,999 {c |}{res}         17        3.75       80.35
{txt}  $80,000 to $84,999 {c |}{res}          8        1.77       82.12
{txt}  $85,000 to $89,999 {c |}{res}          8        1.77       83.89
{txt}  $90,000 to $94,999 {c |}{res}          8        1.77       85.65
{txt}  $95,000 to $99,999 {c |}{res}          8        1.77       87.42
{txt}$100,000 to $124,999 {c |}{res}         23        5.08       92.49
{txt}$125,000 to $149,999 {c |}{res}         20        4.42       96.91
{txt}$150,000 to $174,999 {c |}{res}          2        0.44       97.35
{txt}$175,000 to $199,999 {c |}{res}          6        1.32       98.68
{txt}$200,000 to $249,999 {c |}{res}          4        0.88       99.56
{txt}  $250,000 and above {c |}{res}          2        0.44      100.00
{txt}{hline 21}{c +}{hline 35}
               Total {c |}{res}        453      100.00
{txt}
{com}. 
. summ (ideo selfpos fampos age female onlywhite rural west northeast south midwest) if condition==3 & attcorrect==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ideo {c |}{res}        464    .5079023    .2976749          0          1
{txt}{space 5}selfpos {c |}{res}        465    .1182796    .3232867          0          1
{txt}{space 6}fampos {c |}{res}        464    .5258621    .4998696          0          1
{txt}{space 9}age {c |}{res}        465    47.09677    16.81637         18         90
{txt}{space 6}female {c |}{res}        465    .5010753    .5005373          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}onlywhite {c |}{res}        456    .7083333    .4550289          0          1
{txt}{space 7}rural {c |}{res}        419      .49642    .3414878          0          1
{txt}{space 8}west {c |}{res}        464    .2155172    .4116245          0          1
{txt}{space 3}northeast {c |}{res}        464     .200431     .400755          0          1
{txt}{space 7}south {c |}{res}        464    .3943966    .4892482          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}        464    .1896552    .3924513          0          1
{txt}
{com}. tab educ_lucid if condition==3 & attcorrect==1

  {txt}education {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       LTHS {c |}{res}         17        3.66        3.66
{txt}         HS {c |}{res}        121       26.02       29.68
{txt} Some Coll. {c |}{res}        151       32.47       62.15
{txt}   Bachelor {c |}{res}        119       25.59       87.74
{txt}    Coll. + {c |}{res}         57       12.26      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        465      100.00
{txt}
{com}. tab hhi_lucid if condition==3 & attcorrect==1

                 {txt}hhi {c |}      Freq.     Percent        Cum.
{hline 21}{c +}{hline 35}
   Less than $14,999 {c |}{res}         81       17.69       17.69
{txt}  $15,000 to $19,999 {c |}{res}         32        6.99       24.67
{txt}  $20,000 to $24,999 {c |}{res}         23        5.02       29.69
{txt}  $25,000 to $29,999 {c |}{res}         28        6.11       35.81
{txt}  $30,000 to $34,999 {c |}{res}         38        8.30       44.10
{txt}  $35,000 to $39,999 {c |}{res}         14        3.06       47.16
{txt}  $40,000 to $44,999 {c |}{res}         15        3.28       50.44
{txt}  $45,000 to $49,999 {c |}{res}         30        6.55       56.99
{txt}  $50,000 to $54,999 {c |}{res}         30        6.55       63.54
{txt}  $55,000 to $59,999 {c |}{res}         12        2.62       66.16
{txt}  $60,000 to $64,999 {c |}{res}         20        4.37       70.52
{txt}  $65,000 to $69,999 {c |}{res}          4        0.87       71.40
{txt}  $70,000 to $74,999 {c |}{res}         16        3.49       74.89
{txt}  $75,000 to $79,999 {c |}{res}         14        3.06       77.95
{txt}  $80,000 to $84,999 {c |}{res}         14        3.06       81.00
{txt}  $85,000 to $89,999 {c |}{res}          4        0.87       81.88
{txt}  $90,000 to $94,999 {c |}{res}          8        1.75       83.62
{txt}  $95,000 to $99,999 {c |}{res}          9        1.97       85.59
{txt}$100,000 to $124,999 {c |}{res}         27        5.90       91.48
{txt}$125,000 to $149,999 {c |}{res}         15        3.28       94.76
{txt}$150,000 to $174,999 {c |}{res}         11        2.40       97.16
{txt}$175,000 to $199,999 {c |}{res}          5        1.09       98.25
{txt}$200,000 to $249,999 {c |}{res}          2        0.44       98.69
{txt}  $250,000 and above {c |}{res}          6        1.31      100.00
{txt}{hline 21}{c +}{hline 35}
               Total {c |}{res}        458      100.00
{txt}
{com}. 
. ///*Table A5 - Study 2 Distribution of Liberals, Moderates, and Conservatives
> tab ideo3 condition if attcorrect==1

           {txt}{c |}                  condition
     ideo3 {c |}   control     health       econ  health/ec {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
         0 {c |}{res}       123        142        145        145 {txt}{c |}{res}       555 
{txt}        .5 {c |}{res}       148        188        177        156 {txt}{c |}{res}       669 
{txt}         1 {c |}{res}       127        135        142        164 {txt}{c |}{res}       568 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}       398        465        464        465 {txt}{c |}{res}     1,792 
{txt}
{com}. 
. ///*Table A6 - Study 2 Interaction with Partisanship
> reg behavindex i.condition pid selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,401
{txt}{hline 13}{c +}{hline 34}   F(15, 1385)     = {res}    27.24
{txt}       Model {c |} {res} 17.8350128        15  1.18900086   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 60.4560123     1,385   .04365055   {txt}R-squared       ={res}    0.2278
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2194
{txt}       Total {c |} {res} 78.2910251     1,400  .055922161   {txt}Root MSE        =   {res} .20893

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0427536{col 26}{space 2} .0162708{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.0746717{col 67}{space 3}-.0108356
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0384278{col 26}{space 2} .0163745{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-.0705493{col 67}{space 3}-.0063064
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0388266{col 26}{space 2} .0162785{col 37}{space 1}   -2.39{col 46}{space 3}0.017{col 54}{space 4}-.0707598{col 67}{space 3}-.0068934
{txt}{space 12} {c |}
{space 9}pid {c |}{col 14}{res}{space 2}-.2751915{col 26}{space 2} .0158506{col 37}{space 1}  -17.36{col 46}{space 3}0.000{col 54}{space 4}-.3062853{col 67}{space 3}-.2440978
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} .0081619{col 26}{space 2} .0181341{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0274114{col 67}{space 3} .0437351
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0143378{col 26}{space 2} .0116037{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4}-.0084249{col 67}{space 3} .0371004
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0014827{col 26}{space 2} .0003545{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .0007873{col 67}{space 3}  .002178
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0319459{col 26}{space 2} .0114626{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .0094599{col 67}{space 3} .0544319
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0183868{col 26}{space 2} .0136369{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4} -.045138{col 67}{space 3} .0083643
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2}  .018953{col 26}{space 2} .0239934{col 37}{space 1}    0.79{col 46}{space 3}0.430{col 54}{space 4}-.0281144{col 67}{space 3} .0660204
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0255405{col 26}{space 2} .0213314{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.0163049{col 67}{space 3} .0673859
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0220966{col 26}{space 2}  .017506{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-.0564378{col 67}{space 3} .0122445
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0088847{col 26}{space 2} .0179265{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-.0440506{col 67}{space 3} .0262813
{txt}{space 7}south {c |}{col 14}{res}{space 2} -.035283{col 26}{space 2} .0155744{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4} -.065835{col 67}{space 3} -.004731
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0699482{col 26}{space 2} .0177622{col 37}{space 1}   -3.94{col 46}{space 3}0.000{col 54}{space 4} -.104792{col 67}{space 3}-.0351045
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8278397{col 26}{space 2}  .028877{col 37}{space 1}   28.67{col 46}{space 3}0.000{col 54}{space 4} .7711924{col 67}{space 3}  .884487
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model1
{txt}
{com}. 
. reg behavindex i.condition##c.pid selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,401
{txt}{hline 13}{c +}{hline 34}   F(18, 1382)     = {res}    22.86
{txt}       Model {c |} {res} 17.9647412        18  .998041177   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 60.3262839     1,382  .043651436   {txt}R-squared       ={res}    0.2295
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2194
{txt}       Total {c |} {res} 78.2910251     1,400  .055922161   {txt}Root MSE        =   {res} .20893

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     behavindex{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}condition {c |}
{space 8}health  {c |}{col 17}{res}{space 2}-.0155781{col 29}{space 2} .0252352{col 40}{space 1}   -0.62{col 49}{space 3}0.537{col 57}{space 4}-.0650815{col 70}{space 3} .0339253
{txt}{space 10}econ  {c |}{col 17}{res}{space 2} -.009337{col 29}{space 2}  .025586{col 40}{space 1}   -0.36{col 49}{space 3}0.715{col 57}{space 4}-.0595286{col 70}{space 3} .0408546
{txt}{space 3}health/econ  {c |}{col 17}{res}{space 2}-.0263125{col 29}{space 2} .0247201{col 40}{space 1}   -1.06{col 49}{space 3}0.287{col 57}{space 4}-.0748054{col 70}{space 3} .0221804
{txt}{space 15} {c |}
{space 12}pid {c |}{col 17}{res}{space 2}-.2348772{col 29}{space 2} .0330945{col 40}{space 1}   -7.10{col 49}{space 3}0.000{col 57}{space 4}-.2997981{col 70}{space 3}-.1699563
{txt}{space 15} {c |}
condition#c.pid {c |}
{space 8}health  {c |}{col 17}{res}{space 2}-.0625948{col 29}{space 2} .0445062{col 40}{space 1}   -1.41{col 49}{space 3}0.160{col 57}{space 4}-.1499018{col 70}{space 3} .0247122
{txt}{space 10}econ  {c |}{col 17}{res}{space 2}-.0654176{col 29}{space 2} .0441014{col 40}{space 1}   -1.48{col 49}{space 3}0.138{col 57}{space 4}-.1519305{col 70}{space 3} .0210953
{txt}{space 3}health/econ  {c |}{col 17}{res}{space 2}-.0284145{col 29}{space 2} .0429045{col 40}{space 1}   -0.66{col 49}{space 3}0.508{col 57}{space 4}-.1125794{col 70}{space 3} .0557504
{txt}{space 15} {c |}
{space 8}selfpos {c |}{col 17}{res}{space 2} .0079255{col 29}{space 2} .0181661{col 40}{space 1}    0.44{col 49}{space 3}0.663{col 57}{space 4}-.0277106{col 70}{space 3} .0435617
{txt}{space 9}fampos {c |}{col 17}{res}{space 2} .0144075{col 29}{space 2}  .011604{col 40}{space 1}    1.24{col 49}{space 3}0.215{col 57}{space 4}-.0083558{col 70}{space 3} .0371708
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0014979{col 29}{space 2} .0003546{col 40}{space 1}    4.22{col 49}{space 3}0.000{col 57}{space 4} .0008023{col 70}{space 3} .0021935
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0321522{col 29}{space 2} .0114808{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} .0096305{col 70}{space 3} .0546739
{txt}{space 6}onlywhite {c |}{col 17}{res}{space 2}-.0185904{col 29}{space 2} .0136385{col 40}{space 1}   -1.36{col 49}{space 3}0.173{col 57}{space 4}-.0453447{col 70}{space 3} .0081639
{txt}{space 10}edu01 {c |}{col 17}{res}{space 2} .0178709{col 29}{space 2} .0240308{col 40}{space 1}    0.74{col 49}{space 3}0.457{col 57}{space 4}-.0292699{col 70}{space 3} .0650116
{txt}{space 5}incomefull {c |}{col 17}{res}{space 2} .0273343{col 29}{space 2} .0213585{col 40}{space 1}    1.28{col 49}{space 3}0.201{col 57}{space 4}-.0145643{col 70}{space 3} .0692329
{txt}{space 10}rural {c |}{col 17}{res}{space 2}-.0221778{col 29}{space 2} .0175108{col 40}{space 1}   -1.27{col 49}{space 3}0.206{col 57}{space 4}-.0565284{col 70}{space 3} .0121728
{txt}{space 11}west {c |}{col 17}{res}{space 2}-.0089963{col 29}{space 2} .0179312{col 40}{space 1}   -0.50{col 49}{space 3}0.616{col 57}{space 4}-.0441716{col 70}{space 3}  .026179
{txt}{space 10}south {c |}{col 17}{res}{space 2}-.0357139{col 29}{space 2}  .015577{col 40}{space 1}   -2.29{col 49}{space 3}0.022{col 57}{space 4}-.0662711{col 70}{space 3}-.0051567
{txt}{space 8}midwest {c |}{col 17}{res}{space 2}-.0700683{col 29}{space 2}  .017768{col 40}{space 1}   -3.94{col 49}{space 3}0.000{col 57}{space 4}-.1049234{col 70}{space 3}-.0352132
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8097486{col 29}{space 2} .0315251{col 40}{space 1}   25.69{col 49}{space 3}0.000{col 57}{space 4} .7479065{col 70}{space 3} .8715908
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model2
{txt}
{com}. 
. reg polindex i.condition pid selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,400
{txt}{hline 13}{c +}{hline 34}   F(15, 1384)     = {res}    36.47
{txt}       Model {c |} {res} 37.8382288        15  2.52254859   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 95.7215396     1,384  .069162962   {txt}R-squared       ={res}    0.2833
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2755
{txt}       Total {c |} {res} 133.559768     1,399  .095468026   {txt}Root MSE        =   {res} .26299

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0476994{col 26}{space 2}  .020481{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.0878764{col 67}{space 3}-.0075223
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0498419{col 26}{space 2} .0206115{col 37}{space 1}   -2.42{col 46}{space 3}0.016{col 54}{space 4} -.090275{col 67}{space 3}-.0094087
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0266296{col 26}{space 2} .0205036{col 37}{space 1}   -1.30{col 46}{space 3}0.194{col 54}{space 4}-.0668511{col 67}{space 3} .0135919
{txt}{space 12} {c |}
{space 9}pid {c |}{col 14}{res}{space 2}-.4159098{col 26}{space 2} .0199728{col 37}{space 1}  -20.82{col 46}{space 3}0.000{col 54}{space 4}-.4550901{col 67}{space 3}-.3767295
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2}-.0219573{col 26}{space 2} .0228298{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4} -.066742{col 67}{space 3} .0228274
{txt}{space 6}fampos {c |}{col 14}{res}{space 2}-.0017915{col 26}{space 2} .0146126{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-.0304567{col 67}{space 3} .0268737
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0015606{col 26}{space 2} .0004462{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .0006852{col 67}{space 3} .0024359
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0368182{col 26}{space 2} .0144324{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0085065{col 67}{space 3} .0651299
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0082224{col 26}{space 2} .0171655{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-.0418957{col 67}{space 3} .0254509
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2}-.0068169{col 26}{space 2} .0302156{col 37}{space 1}   -0.23{col 46}{space 3}0.822{col 54}{space 4}-.0660901{col 67}{space 3} .0524564
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2}-.0075605{col 26}{space 2} .0268556{col 37}{space 1}   -0.28{col 46}{space 3}0.778{col 54}{space 4}-.0602426{col 67}{space 3} .0451217
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0436217{col 26}{space 2} .0220385{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.0868542{col 67}{space 3}-.0003892
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0143735{col 26}{space 2} .0225866{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.0586812{col 67}{space 3} .0299342
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0445667{col 26}{space 2} .0196044{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.0830243{col 67}{space 3}-.0061091
{txt}{space 5}midwest {c |}{col 14}{res}{space 2} -.074697{col 26}{space 2} .0223583{col 37}{space 1}   -3.34{col 46}{space 3}0.001{col 54}{space 4}-.1185568{col 67}{space 3}-.0308371
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8052687{col 26}{space 2} .0363778{col 37}{space 1}   22.14{col 46}{space 3}0.000{col 54}{space 4} .7339071{col 67}{space 3} .8766303
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model3
{txt}
{com}. 
. reg polindex i.condition##c.pid selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,400
{txt}{hline 13}{c +}{hline 34}   F(18, 1381)     = {res}    30.50
{txt}       Model {c |} {res} 37.9890998        18  2.11050555   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 95.5706686     1,381   .06920396   {txt}R-squared       ={res}    0.2844
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2751
{txt}       Total {c |} {res} 133.559768     1,399  .095468026   {txt}Root MSE        =   {res} .26307

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       polindex{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}condition {c |}
{space 8}health  {c |}{col 17}{res}{space 2}-.0243874{col 29}{space 2} .0317742{col 40}{space 1}   -0.77{col 49}{space 3}0.443{col 57}{space 4}-.0867183{col 70}{space 3} .0379434
{txt}{space 10}econ  {c |}{col 17}{res}{space 2}-.0376193{col 29}{space 2} .0322158{col 40}{space 1}   -1.17{col 49}{space 3}0.243{col 57}{space 4}-.1008165{col 70}{space 3} .0255779
{txt}{space 3}health/econ  {c |}{col 17}{res}{space 2}-.0340746{col 29}{space 2} .0311284{col 40}{space 1}   -1.09{col 49}{space 3}0.274{col 57}{space 4}-.0951387{col 70}{space 3} .0269895
{txt}{space 15} {c |}
{space 12}pid {c |}{col 17}{res}{space 2} -.400666{col 29}{space 2} .0416702{col 40}{space 1}   -9.62{col 49}{space 3}0.000{col 57}{space 4}-.4824098{col 70}{space 3}-.3189223
{txt}{space 15} {c |}
condition#c.pid {c |}
{space 8}health  {c |}{col 17}{res}{space 2}-.0540916{col 29}{space 2} .0560389{col 40}{space 1}   -0.97{col 49}{space 3}0.335{col 57}{space 4}-.1640221{col 70}{space 3} .0558389
{txt}{space 10}econ  {c |}{col 17}{res}{space 2}-.0273732{col 29}{space 2} .0555288{col 40}{space 1}   -0.49{col 49}{space 3}0.622{col 57}{space 4}-.1363032{col 70}{space 3} .0815568
{txt}{space 3}health/econ  {c |}{col 17}{res}{space 2} .0178065{col 29}{space 2} .0540887{col 40}{space 1}    0.33{col 49}{space 3}0.742{col 57}{space 4}-.0882983{col 70}{space 3} .1239113
{txt}{space 15} {c |}
{space 8}selfpos {c |}{col 17}{res}{space 2}-.0226128{col 29}{space 2} .0228764{col 40}{space 1}   -0.99{col 49}{space 3}0.323{col 57}{space 4}-.0674891{col 70}{space 3} .0222636
{txt}{space 9}fampos {c |}{col 17}{res}{space 2}-.0016817{col 29}{space 2} .0146173{col 40}{space 1}   -0.12{col 49}{space 3}0.908{col 57}{space 4}-.0303562{col 70}{space 3} .0269928
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0015774{col 29}{space 2} .0004465{col 40}{space 1}    3.53{col 49}{space 3}0.000{col 57}{space 4} .0007014{col 70}{space 3} .0024533
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0366473{col 29}{space 2} .0144593{col 40}{space 1}    2.53{col 49}{space 3}0.011{col 57}{space 4} .0082828{col 70}{space 3} .0650118
{txt}{space 6}onlywhite {c |}{col 17}{res}{space 2}-.0084095{col 29}{space 2} .0171724{col 40}{space 1}   -0.49{col 49}{space 3}0.624{col 57}{space 4}-.0420964{col 70}{space 3} .0252773
{txt}{space 10}edu01 {c |}{col 17}{res}{space 2}-.0061781{col 29}{space 2}  .030273{col 40}{space 1}   -0.20{col 49}{space 3}0.838{col 57}{space 4}-.0655642{col 70}{space 3}  .053208
{txt}{space 5}incomefull {c |}{col 17}{res}{space 2}-.0063894{col 29}{space 2} .0268976{col 40}{space 1}   -0.24{col 49}{space 3}0.812{col 57}{space 4}-.0591541{col 70}{space 3} .0463753
{txt}{space 10}rural {c |}{col 17}{res}{space 2}-.0432912{col 29}{space 2} .0220506{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-.0865475{col 70}{space 3}-.0000349
{txt}{space 11}west {c |}{col 17}{res}{space 2}-.0141639{col 29}{space 2}  .022599{col 40}{space 1}   -0.63{col 49}{space 3}0.531{col 57}{space 4}-.0584959{col 70}{space 3} .0301681
{txt}{space 10}south {c |}{col 17}{res}{space 2} -.045057{col 29}{space 2} .0196133{col 40}{space 1}   -2.30{col 49}{space 3}0.022{col 57}{space 4} -.083532{col 70}{space 3}-.0065819
{txt}{space 8}midwest {c |}{col 17}{res}{space 2}-.0746777{col 29}{space 2}  .022372{col 40}{space 1}   -3.34{col 49}{space 3}0.001{col 57}{space 4}-.1185644{col 70}{space 3} -.030791
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  .797244{col 29}{space 2} .0397112{col 40}{space 1}   20.08{col 49}{space 3}0.000{col 57}{space 4} .7193432{col 70}{space 3} .8751448
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store model4
{txt}
{com}. 
. esttab model1 model2 model3 model4, label b(2) se r2 star(+ 0.10 * 0.05 ** 0.01)  ///
>   title(Table A6: Study 2)
{res}
{txt}Table A6: Study 2
{txt}{hline 80}
{txt}                              (1)            (2)            (3)            (4)  
{txt}                       behavindex     behavindex       polindex       polindex  
{txt}{hline 80}
{txt}control             {res}         0.00           0.00           0.00           0.00  {txt}
                    {res} {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}   {ralign 12:{txt:(}.{txt:)}}  {txt}

{txt}health              {res}        -0.04**        -0.02          -0.05*         -0.02  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}econ                {res}        -0.04*         -0.01          -0.05*         -0.04  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}health/econ         {res}        -0.04*         -0.03          -0.03          -0.03  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}pid                 {res}        -0.28**        -0.23**        -0.42**        -0.40**{txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}

{txt}R tested COVID pos~e{res}         0.01           0.01          -0.02          -0.02  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}family/friends tes~i{res}         0.01           0.01          -0.00          -0.00  {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}  {txt}

{txt}age                 {res}         0.00**         0.00**         0.00**         0.00**{txt}
                    {res} {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}   {ralign 12:{txt:(}0.00{txt:)}}  {txt}

{txt}R is Female?        {res}         0.03**         0.03**         0.04*          0.04* {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}  {txt}

{txt}onlywhite           {res}        -0.02          -0.02          -0.01          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.01{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}edu01               {res}         0.02           0.02          -0.01          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}incomefull          {res}         0.03           0.03          -0.01          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}  {txt}

{txt}rural               {res}        -0.02          -0.02          -0.04*         -0.04* {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}west                {res}        -0.01          -0.01          -0.01          -0.01  {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}south               {res}        -0.04*         -0.04*         -0.04*         -0.05* {txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}midwest             {res}        -0.07**        -0.07**        -0.07**        -0.07**{txt}
                    {res} {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}   {ralign 12:{txt:(}0.02{txt:)}}  {txt}

{txt}control # pid       {res}                        0.00                          0.00  {txt}
                    {res}                {ralign 12:{txt:(}.{txt:)}}                  {ralign 12:{txt:(}.{txt:)}}  {txt}

{txt}health # pid        {res}                       -0.06                         -0.05  {txt}
                    {res}                {ralign 12:{txt:(}0.04{txt:)}}                  {ralign 12:{txt:(}0.06{txt:)}}  {txt}

{txt}econ # pid          {res}                       -0.07                         -0.03  {txt}
                    {res}                {ralign 12:{txt:(}0.04{txt:)}}                  {ralign 12:{txt:(}0.06{txt:)}}  {txt}

{txt}health/econ # pid   {res}                       -0.03                          0.02  {txt}
                    {res}                {ralign 12:{txt:(}0.04{txt:)}}                  {ralign 12:{txt:(}0.05{txt:)}}  {txt}

{txt}Constant            {res}         0.83**         0.81**         0.81**         0.80**{txt}
                    {res} {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.03{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}   {ralign 12:{txt:(}0.04{txt:)}}  {txt}
{txt}{hline 80}
{txt}Observations        {res}         1401           1401           1400           1400  {txt}
{txt}R-squared           {res}        0.228          0.229          0.283          0.284  {txt}
{txt}{hline 80}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01

{com}.   
. ///*Post-Hoc Testing
> 
. ///*Ideology as a 7-point indicator
> ///gen ideo6=ideo*6
> 
. reg behavindex i.condition##i.ideo6 selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(38, 1511)     = {res}    10.53
{txt}       Model {c |} {res} 18.3719035        38  .483471146   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 69.3889589     1,511  .045922541   {txt}R-squared       ={res}    0.2093
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1895
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res}  .2143

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     behavindex{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}condition {c |}
{space 8}health  {c |}{col 17}{res}{space 2}-.0234655{col 29}{space 2} .0495482{col 40}{space 1}   -0.47{col 49}{space 3}0.636{col 57}{space 4} -.120656{col 70}{space 3}  .073725
{txt}{space 10}econ  {c |}{col 17}{res}{space 2}-.0641683{col 29}{space 2} .0502125{col 40}{space 1}   -1.28{col 49}{space 3}0.201{col 57}{space 4}-.1626618{col 70}{space 3} .0343252
{txt}{space 3}health/econ  {c |}{col 17}{res}{space 2}-.0082045{col 29}{space 2} .0493276{col 40}{space 1}   -0.17{col 49}{space 3}0.868{col 57}{space 4}-.1049624{col 70}{space 3} .0885535
{txt}{space 15} {c |}
{space 10}ideo6 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} -.062004{col 29}{space 2}   .04798{col 40}{space 1}   -1.29{col 49}{space 3}0.196{col 57}{space 4}-.1561184{col 70}{space 3} .0321105
{txt}{space 13}2  {c |}{col 17}{res}{space 2}-.1356563{col 29}{space 2} .0561303{col 40}{space 1}   -2.42{col 49}{space 3}0.016{col 57}{space 4}-.2457578{col 70}{space 3}-.0255548
{txt}{space 13}3  {c |}{col 17}{res}{space 2}-.1353403{col 29}{space 2} .0417772{col 40}{space 1}   -3.24{col 49}{space 3}0.001{col 57}{space 4}-.2172877{col 70}{space 3}-.0533929
{txt}{space 13}4  {c |}{col 17}{res}{space 2}-.1597237{col 29}{space 2}  .052214{col 40}{space 1}   -3.06{col 49}{space 3}0.002{col 57}{space 4}-.2621433{col 70}{space 3} -.057304
{txt}{space 13}5  {c |}{col 17}{res}{space 2}-.2646025{col 29}{space 2} .0489947{col 40}{space 1}   -5.40{col 49}{space 3}0.000{col 57}{space 4}-.3607073{col 70}{space 3}-.1684977
{txt}{space 13}6  {c |}{col 17}{res}{space 2}  -.29998{col 29}{space 2} .0556361{col 40}{space 1}   -5.39{col 49}{space 3}0.000{col 57}{space 4}-.4091122{col 70}{space 3}-.1908477
{txt}{space 15} {c |}
condition#ideo6 {c |}
{space 6}health#1  {c |}{col 17}{res}{space 2}  .028518{col 29}{space 2} .0655959{col 40}{space 1}    0.43{col 49}{space 3}0.664{col 57}{space 4}-.1001507{col 70}{space 3} .1571868
{txt}{space 6}health#2  {c |}{col 17}{res}{space 2} .0470979{col 29}{space 2}   .07516{col 40}{space 1}    0.63{col 49}{space 3}0.531{col 57}{space 4} -.100331{col 70}{space 3} .1945268
{txt}{space 6}health#3  {c |}{col 17}{res}{space 2}-.0200243{col 29}{space 2} .0557884{col 40}{space 1}   -0.36{col 49}{space 3}0.720{col 57}{space 4}-.1294552{col 70}{space 3} .0894066
{txt}{space 6}health#4  {c |}{col 17}{res}{space 2}-.0498791{col 29}{space 2} .0702929{col 40}{space 1}   -0.71{col 49}{space 3}0.478{col 57}{space 4} -.187761{col 70}{space 3} .0880028
{txt}{space 6}health#5  {c |}{col 17}{res}{space 2}-.0761673{col 29}{space 2}   .06677{col 40}{space 1}   -1.14{col 49}{space 3}0.254{col 57}{space 4}-.2071391{col 70}{space 3} .0548044
{txt}{space 6}health#6  {c |}{col 17}{res}{space 2} .0181383{col 29}{space 2} .0742811{col 40}{space 1}    0.24{col 49}{space 3}0.807{col 57}{space 4}-.1275667{col 70}{space 3} .1638433
{txt}{space 8}econ#1  {c |}{col 17}{res}{space 2}  .051821{col 29}{space 2} .0651633{col 40}{space 1}    0.80{col 49}{space 3}0.427{col 57}{space 4}-.0759991{col 70}{space 3} .1796411
{txt}{space 8}econ#2  {c |}{col 17}{res}{space 2} .1127467{col 29}{space 2} .0761452{col 40}{space 1}    1.48{col 49}{space 3}0.139{col 57}{space 4}-.0366148{col 70}{space 3} .2621082
{txt}{space 8}econ#3  {c |}{col 17}{res}{space 2} .0486087{col 29}{space 2} .0567332{col 40}{space 1}    0.86{col 49}{space 3}0.392{col 57}{space 4}-.0626755{col 70}{space 3} .1598929
{txt}{space 8}econ#4  {c |}{col 17}{res}{space 2}-.0350875{col 29}{space 2} .0705764{col 40}{space 1}   -0.50{col 49}{space 3}0.619{col 57}{space 4}-.1735257{col 70}{space 3} .1033507
{txt}{space 8}econ#5  {c |}{col 17}{res}{space 2} .0111332{col 29}{space 2} .0660568{col 40}{space 1}    0.17{col 49}{space 3}0.866{col 57}{space 4}-.1184395{col 70}{space 3} .1407059
{txt}{space 8}econ#6  {c |}{col 17}{res}{space 2}-.0293713{col 29}{space 2} .0778762{col 40}{space 1}   -0.38{col 49}{space 3}0.706{col 57}{space 4}-.1821283{col 70}{space 3} .1233857
{txt}{space 1}health/econ#1  {c |}{col 17}{res}{space 2}-.0018087{col 29}{space 2} .0650328{col 40}{space 1}   -0.03{col 49}{space 3}0.978{col 57}{space 4}-.1293729{col 70}{space 3} .1257555
{txt}{space 1}health/econ#2  {c |}{col 17}{res}{space 2} .0439542{col 29}{space 2} .0755338{col 40}{space 1}    0.58{col 49}{space 3}0.561{col 57}{space 4}-.1042079{col 70}{space 3} .1921164
{txt}{space 1}health/econ#3  {c |}{col 17}{res}{space 2}-.0061639{col 29}{space 2} .0560709{col 40}{space 1}   -0.11{col 49}{space 3}0.912{col 57}{space 4}-.1161489{col 70}{space 3} .1038212
{txt}{space 1}health/econ#4  {c |}{col 17}{res}{space 2}-.0919357{col 29}{space 2} .0692069{col 40}{space 1}   -1.33{col 49}{space 3}0.184{col 57}{space 4}-.2276875{col 70}{space 3} .0438161
{txt}{space 1}health/econ#5  {c |}{col 17}{res}{space 2} .0085511{col 29}{space 2} .0665004{col 40}{space 1}    0.13{col 49}{space 3}0.898{col 57}{space 4}-.1218918{col 70}{space 3}  .138994
{txt}{space 1}health/econ#6  {c |}{col 17}{res}{space 2}-.0227478{col 29}{space 2}  .071366{col 40}{space 1}   -0.32{col 49}{space 3}0.750{col 57}{space 4}-.1627346{col 70}{space 3} .1172391
{txt}{space 15} {c |}
{space 8}selfpos {c |}{col 17}{res}{space 2} .0109238{col 29}{space 2} .0176134{col 40}{space 1}    0.62{col 49}{space 3}0.535{col 57}{space 4}-.0236255{col 70}{space 3} .0454731
{txt}{space 9}fampos {c |}{col 17}{res}{space 2} .0130418{col 29}{space 2} .0113803{col 40}{space 1}    1.15{col 49}{space 3}0.252{col 57}{space 4}-.0092811{col 70}{space 3} .0353647
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0018231{col 29}{space 2} .0003494{col 40}{space 1}    5.22{col 49}{space 3}0.000{col 57}{space 4} .0011376{col 70}{space 3} .0025085
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0290344{col 29}{space 2} .0112481{col 40}{space 1}    2.58{col 49}{space 3}0.010{col 57}{space 4} .0069708{col 70}{space 3} .0510981
{txt}{space 6}onlywhite {c |}{col 17}{res}{space 2}-.0455428{col 29}{space 2} .0132555{col 40}{space 1}   -3.44{col 49}{space 3}0.001{col 57}{space 4} -.071544{col 70}{space 3}-.0195417
{txt}{space 10}edu01 {c |}{col 17}{res}{space 2} .0274255{col 29}{space 2} .0235767{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0188211{col 70}{space 3}  .073672
{txt}{space 5}incomefull {c |}{col 17}{res}{space 2} .0471738{col 29}{space 2} .0210402{col 40}{space 1}    2.24{col 49}{space 3}0.025{col 57}{space 4} .0059027{col 70}{space 3} .0884449
{txt}{space 10}rural {c |}{col 17}{res}{space 2}-.0335822{col 29}{space 2} .0169693{col 40}{space 1}   -1.98{col 49}{space 3}0.048{col 57}{space 4} -.066868{col 70}{space 3}-.0002963
{txt}{space 11}west {c |}{col 17}{res}{space 2}-.0191139{col 29}{space 2} .0175714{col 40}{space 1}   -1.09{col 49}{space 3}0.277{col 57}{space 4}-.0535807{col 70}{space 3} .0153529
{txt}{space 10}south {c |}{col 17}{res}{space 2}-.0270483{col 29}{space 2} .0153133{col 40}{space 1}   -1.77{col 49}{space 3}0.078{col 57}{space 4}-.0570858{col 70}{space 3} .0029892
{txt}{space 8}midwest {c |}{col 17}{res}{space 2}-.0760754{col 29}{space 2} .0175007{col 40}{space 1}   -4.35{col 49}{space 3}0.000{col 57}{space 4}-.1104037{col 70}{space 3}-.0417472
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8373032{col 29}{space 2} .0444728{col 40}{space 1}   18.83{col 49}{space 3}0.000{col 57}{space 4} .7500683{col 70}{space 3} .9245381
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg polindex i.condition##i.ideo6 selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(38, 1510)     = {res}    14.48
{txt}       Model {c |} {res} 39.4755786        38  1.03883102   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 108.306236     1,510  .071725984   {txt}R-squared       ={res}    0.2671
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2487
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .26782

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       polindex{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}condition {c |}
{space 8}health  {c |}{col 17}{res}{space 2}-.0481842{col 29}{space 2} .0619231{col 40}{space 1}   -0.78{col 49}{space 3}0.437{col 57}{space 4}-.1696487{col 70}{space 3} .0732803
{txt}{space 10}econ  {c |}{col 17}{res}{space 2}-.0951634{col 29}{space 2} .0627537{col 40}{space 1}   -1.52{col 49}{space 3}0.130{col 57}{space 4}-.2182571{col 70}{space 3} .0279304
{txt}{space 3}health/econ  {c |}{col 17}{res}{space 2}-.0123256{col 29}{space 2} .0616477{col 40}{space 1}   -0.20{col 49}{space 3}0.842{col 57}{space 4}-.1332497{col 70}{space 3} .1085986
{txt}{space 15} {c |}
{space 10}ideo6 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} -.079281{col 29}{space 2} .0599633{col 40}{space 1}   -1.32{col 49}{space 3}0.186{col 57}{space 4}-.1969011{col 70}{space 3} .0383392
{txt}{space 13}2  {c |}{col 17}{res}{space 2}-.2036973{col 29}{space 2} .0701492{col 40}{space 1}   -2.90{col 49}{space 3}0.004{col 57}{space 4}-.3412975{col 70}{space 3}-.0660971
{txt}{space 13}3  {c |}{col 17}{res}{space 2}-.1903916{col 29}{space 2} .0522125{col 40}{space 1}   -3.65{col 49}{space 3}0.000{col 57}{space 4}-.2928083{col 70}{space 3}-.0879749
{txt}{space 13}4  {c |}{col 17}{res}{space 2}-.2587851{col 29}{space 2} .0652549{col 40}{space 1}   -3.97{col 49}{space 3}0.000{col 57}{space 4}-.3867849{col 70}{space 3}-.1307853
{txt}{space 13}5  {c |}{col 17}{res}{space 2}-.3875479{col 29}{space 2} .0612316{col 40}{space 1}   -6.33{col 49}{space 3}0.000{col 57}{space 4}-.5076559{col 70}{space 3}-.2674398
{txt}{space 13}6  {c |}{col 17}{res}{space 2}-.5577872{col 29}{space 2} .0695323{col 40}{space 1}   -8.02{col 49}{space 3}0.000{col 57}{space 4}-.6941774{col 70}{space 3} -.421397
{txt}{space 15} {c |}
condition#ideo6 {c |}
{space 6}health#1  {c |}{col 17}{res}{space 2} .0587081{col 29}{space 2} .0819793{col 40}{space 1}    0.72{col 49}{space 3}0.474{col 57}{space 4}-.1020972{col 70}{space 3} .2195134
{txt}{space 6}health#2  {c |}{col 17}{res}{space 2} .1003682{col 29}{space 2} .0939319{col 40}{space 1}    1.07{col 49}{space 3}0.285{col 57}{space 4}-.0838825{col 70}{space 3} .2846189
{txt}{space 6}health#3  {c |}{col 17}{res}{space 2}-.0100395{col 29}{space 2} .0697219{col 40}{space 1}   -0.14{col 49}{space 3}0.886{col 57}{space 4}-.1468016{col 70}{space 3} .1267226
{txt}{space 6}health#4  {c |}{col 17}{res}{space 2}-.0609644{col 29}{space 2} .0878489{col 40}{space 1}   -0.69{col 49}{space 3}0.488{col 57}{space 4}-.2332833{col 70}{space 3} .1113544
{txt}{space 6}health#5  {c |}{col 17}{res}{space 2} -.070239{col 29}{space 2} .0834463{col 40}{space 1}   -0.84{col 49}{space 3}0.400{col 57}{space 4} -.233922{col 70}{space 3}  .093444
{txt}{space 6}health#6  {c |}{col 17}{res}{space 2} .1378984{col 29}{space 2} .0928337{col 40}{space 1}    1.49{col 49}{space 3}0.138{col 57}{space 4}-.0441982{col 70}{space 3} .3199951
{txt}{space 8}econ#1  {c |}{col 17}{res}{space 2} .0803372{col 29}{space 2} .0814386{col 40}{space 1}    0.99{col 49}{space 3}0.324{col 57}{space 4}-.0794077{col 70}{space 3} .2400821
{txt}{space 8}econ#2  {c |}{col 17}{res}{space 2} .1039919{col 29}{space 2}  .095163{col 40}{space 1}    1.09{col 49}{space 3}0.275{col 57}{space 4}-.0826738{col 70}{space 3} .2906575
{txt}{space 8}econ#3  {c |}{col 17}{res}{space 2} .0676043{col 29}{space 2} .0709034{col 40}{space 1}    0.95{col 49}{space 3}0.341{col 57}{space 4}-.0714753{col 70}{space 3}  .206684
{txt}{space 8}econ#4  {c |}{col 17}{res}{space 2}-.0237297{col 29}{space 2} .0882036{col 40}{space 1}   -0.27{col 49}{space 3}0.788{col 57}{space 4}-.1967442{col 70}{space 3} .1492849
{txt}{space 8}econ#5  {c |}{col 17}{res}{space 2}-.0167083{col 29}{space 2} .0825552{col 40}{space 1}   -0.20{col 49}{space 3}0.840{col 57}{space 4}-.1786433{col 70}{space 3} .1452267
{txt}{space 8}econ#6  {c |}{col 17}{res}{space 2}  .074682{col 29}{space 2} .0973267{col 40}{space 1}    0.77{col 49}{space 3}0.443{col 57}{space 4}-.1162279{col 70}{space 3} .2655918
{txt}{space 1}health/econ#1  {c |}{col 17}{res}{space 2} .0325908{col 29}{space 2} .0812753{col 40}{space 1}    0.40{col 49}{space 3}0.688{col 57}{space 4}-.1268336{col 70}{space 3} .1920152
{txt}{space 1}health/econ#2  {c |}{col 17}{res}{space 2} .1002068{col 29}{space 2} .0943988{col 40}{space 1}    1.06{col 49}{space 3}0.289{col 57}{space 4}-.0849599{col 70}{space 3} .2853735
{txt}{space 1}health/econ#3  {c |}{col 17}{res}{space 2}-.0025234{col 29}{space 2} .0700753{col 40}{space 1}   -0.04{col 49}{space 3}0.971{col 57}{space 4}-.1399787{col 70}{space 3} .1349319
{txt}{space 1}health/econ#4  {c |}{col 17}{res}{space 2}-.1224281{col 29}{space 2} .0864919{col 40}{space 1}   -1.42{col 49}{space 3}0.157{col 57}{space 4} -.292085{col 70}{space 3} .0472289
{txt}{space 1}health/econ#5  {c |}{col 17}{res}{space 2}-.0001076{col 29}{space 2} .0833053{col 40}{space 1}   -0.00{col 49}{space 3}0.999{col 57}{space 4} -.163514{col 70}{space 3} .1632989
{txt}{space 1}health/econ#6  {c |}{col 17}{res}{space 2} .1179799{col 29}{space 2} .0891906{col 40}{space 1}    1.32{col 49}{space 3}0.186{col 57}{space 4}-.0569707{col 70}{space 3} .2929305
{txt}{space 15} {c |}
{space 8}selfpos {c |}{col 17}{res}{space 2}-.0132565{col 29}{space 2} .0220147{col 40}{space 1}   -0.60{col 49}{space 3}0.547{col 57}{space 4}-.0564391{col 70}{space 3} .0299261
{txt}{space 9}fampos {c |}{col 17}{res}{space 2}-.0037306{col 29}{space 2} .0142282{col 40}{space 1}   -0.26{col 49}{space 3}0.793{col 57}{space 4}-.0316398{col 70}{space 3} .0241786
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0022035{col 29}{space 2} .0004368{col 40}{space 1}    5.04{col 49}{space 3}0.000{col 57}{space 4} .0013467{col 70}{space 3} .0030603
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0253043{col 29}{space 2}  .014059{col 40}{space 1}    1.80{col 49}{space 3}0.072{col 57}{space 4}-.0022729{col 70}{space 3} .0528815
{txt}{space 6}onlywhite {c |}{col 17}{res}{space 2}-.0419884{col 29}{space 2} .0165666{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4}-.0744843{col 70}{space 3}-.0094924
{txt}{space 10}edu01 {c |}{col 17}{res}{space 2}  .001463{col 29}{space 2}  .029482{col 40}{space 1}    0.05{col 49}{space 3}0.960{col 57}{space 4}-.0563671{col 70}{space 3} .0592931
{txt}{space 5}incomefull {c |}{col 17}{res}{space 2} .0257961{col 29}{space 2} .0262999{col 40}{space 1}    0.98{col 49}{space 3}0.327{col 57}{space 4}-.0257922{col 70}{space 3} .0773843
{txt}{space 10}rural {c |}{col 17}{res}{space 2}-.0642824{col 29}{space 2} .0212096{col 40}{space 1}   -3.03{col 49}{space 3}0.002{col 57}{space 4}-.1058857{col 70}{space 3}-.0226791
{txt}{space 11}west {c |}{col 17}{res}{space 2}-.0389723{col 29}{space 2} .0219859{col 40}{space 1}   -1.77{col 49}{space 3}0.076{col 57}{space 4}-.0820984{col 70}{space 3} .0041537
{txt}{space 10}south {c |}{col 17}{res}{space 2}-.0365988{col 29}{space 2}  .019138{col 40}{space 1}   -1.91{col 49}{space 3}0.056{col 57}{space 4}-.0741386{col 70}{space 3}  .000941
{txt}{space 8}midwest {c |}{col 17}{res}{space 2}-.0842098{col 29}{space 2} .0218719{col 40}{space 1}   -3.85{col 49}{space 3}0.000{col 57}{space 4}-.1271123{col 70}{space 3}-.0413072
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  .825432{col 29}{space 2} .0556016{col 40}{space 1}   14.85{col 49}{space 3}0.000{col 57}{space 4} .7163676{col 70}{space 3} .9344965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ///*Excluding those who spent five minutes or less on the survey
> reg behavindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,511
{txt}{hline 13}{c +}{hline 34}   F(15, 1495)     = {res}    25.16
{txt}       Model {c |} {res}  17.370558        15   1.1580372   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 68.8006735     1,495  .046020517   {txt}R-squared       ={res}    0.2016
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1936
{txt}       Total {c |} {res} 86.1712315     1,510  .057067041   {txt}Root MSE        =   {res} .21452

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0353264{col 26}{space 2} .0159716{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.0666555{col 67}{space 3}-.0039973
{txt}{space 7}econ  {c |}{col 14}{res}{space 2} -.034106{col 26}{space 2}  .016074{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.0656359{col 67}{space 3}-.0025761
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0215394{col 26}{space 2} .0159905{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.0529055{col 67}{space 3} .0098267
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.3285026{col 26}{space 2} .0201162{col 37}{space 1}  -16.33{col 46}{space 3}0.000{col 54}{space 4}-.3679616{col 67}{space 3}-.2890435
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} .0135902{col 26}{space 2} .0178802{col 37}{space 1}    0.76{col 46}{space 3}0.447{col 54}{space 4}-.0214828{col 67}{space 3} .0486631
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0080945{col 26}{space 2} .0115008{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4} -.014465{col 67}{space 3}  .030654
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0016264{col 26}{space 2} .0003518{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} .0009363{col 67}{space 3} .0023166
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0324607{col 26}{space 2}  .011314{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0102677{col 67}{space 3} .0546536
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0473969{col 26}{space 2} .0134218{col 37}{space 1}   -3.53{col 46}{space 3}0.000{col 54}{space 4}-.0737244{col 67}{space 3}-.0210694
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0151633{col 26}{space 2} .0235337{col 37}{space 1}    0.64{col 46}{space 3}0.519{col 54}{space 4}-.0309994{col 67}{space 3} .0613259
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2}  .050117{col 26}{space 2}  .021159{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0086125{col 67}{space 3} .0916214
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0329012{col 26}{space 2} .0170804{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-.0664053{col 67}{space 3} .0006028
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0198942{col 26}{space 2} .0176006{col 37}{space 1}   -1.13{col 46}{space 3}0.259{col 54}{space 4}-.0544186{col 67}{space 3} .0146302
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0255739{col 26}{space 2}  .015434{col 37}{space 1}   -1.66{col 46}{space 3}0.098{col 54}{space 4}-.0558485{col 67}{space 3} .0047007
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0790044{col 26}{space 2} .0175917{col 37}{space 1}   -4.49{col 46}{space 3}0.000{col 54}{space 4}-.1135115{col 67}{space 3}-.0444973
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8730943{col 26}{space 2} .0288369{col 37}{space 1}   30.28{col 46}{space 3}0.000{col 54}{space 4} .8165292{col 67}{space 3} .9296594
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,510
{txt}{hline 13}{c +}{hline 34}   F(15, 1494)     = {res}    34.03
{txt}       Model {c |} {res} 37.1464971        15  2.47643314   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 108.707642     1,494  .072762813   {txt}R-squared       ={res}    0.2547
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2472
{txt}       Total {c |} {res} 145.854139     1,509  .096656156   {txt}Root MSE        =   {res} .26975

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2} -.041919{col 26}{space 2} .0200829{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-.0813127{col 67}{space 3}-.0025253
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0489617{col 26}{space 2} .0202117{col 37}{space 1}   -2.42{col 46}{space 3}0.016{col 54}{space 4}-.0886079{col 67}{space 3}-.0093155
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0102535{col 26}{space 2} .0201181{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.0497161{col 67}{space 3} .0292092
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.5094357{col 26}{space 2} .0253084{col 37}{space 1}  -20.13{col 46}{space 3}0.000{col 54}{space 4}-.5590793{col 67}{space 3} -.459792
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2}-.0125854{col 26}{space 2} .0224858{col 37}{space 1}   -0.56{col 46}{space 3}0.576{col 54}{space 4}-.0566926{col 67}{space 3} .0315217
{txt}{space 6}fampos {c |}{col 14}{res}{space 2}-.0077148{col 26}{space 2} .0144685{col 37}{space 1}   -0.53{col 46}{space 3}0.594{col 54}{space 4}-.0360955{col 67}{space 3}  .020666
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0019726{col 26}{space 2} .0004424{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .0011047{col 67}{space 3} .0028405
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0306966{col 26}{space 2} .0142302{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0027834{col 67}{space 3} .0586098
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0380562{col 26}{space 2} .0168771{col 37}{space 1}   -2.25{col 46}{space 3}0.024{col 54}{space 4}-.0711616{col 67}{space 3}-.0049508
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} -.009348{col 26}{space 2} .0296033{col 37}{space 1}   -0.32{col 46}{space 3}0.752{col 54}{space 4}-.0674163{col 67}{space 3} .0487204
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0200434{col 26}{space 2} .0266103{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.0321542{col 67}{space 3} .0722409
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0631341{col 26}{space 2}  .021479{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-.1052662{col 67}{space 3}-.0210019
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0392075{col 26}{space 2} .0221507{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-.0826573{col 67}{space 3} .0042423
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0377108{col 26}{space 2}  .019407{col 37}{space 1}   -1.94{col 46}{space 3}0.052{col 54}{space 4}-.0757786{col 67}{space 3}  .000357
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0873066{col 26}{space 2} .0221201{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.1306964{col 67}{space 3}-.0439167
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8739428{col 26}{space 2}  .036291{col 37}{space 1}   24.08{col 46}{space 3}0.000{col 54}{space 4} .8027562{col 67}{space 3} .9451295
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,511
{txt}{hline 13}{c +}{hline 34}   F(18, 1492)     = {res}    21.06
{txt}       Model {c |} {res} 17.4583051        18  .969905839   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 68.7129264     1,492   .04605424   {txt}R-squared       ={res}    0.2026
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1930
{txt}       Total {c |} {res} 86.1712315     1,510  .057067041   {txt}Root MSE        =   {res}  .2146

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0079677{col 30}{space 2} .0320541{col 41}{space 1}   -0.25{col 50}{space 3}0.804{col 58}{space 4}-.0708435{col 71}{space 3} .0549082
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} .0033603{col 30}{space 2} .0323003{col 41}{space 1}    0.10{col 50}{space 3}0.917{col 58}{space 4}-.0599986{col 71}{space 3} .0667192
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0009905{col 30}{space 2} .0316384{col 41}{space 1}   -0.03{col 50}{space 3}0.975{col 58}{space 4}-.0630511{col 71}{space 3}   .06107
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.2838498{col 30}{space 2} .0418377{col 41}{space 1}   -6.78{col 50}{space 3}0.000{col 58}{space 4}-.3659167{col 71}{space 3}-.2017829
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0558076{col 30}{space 2} .0565908{col 41}{space 1}   -0.99{col 50}{space 3}0.324{col 58}{space 4}-.1668137{col 71}{space 3} .0551985
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0763666{col 30}{space 2} .0571031{col 41}{space 1}   -1.34{col 50}{space 3}0.181{col 58}{space 4}-.1883775{col 71}{space 3} .0356444
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} -.042025{col 30}{space 2}   .05497{col 41}{space 1}   -0.76{col 50}{space 3}0.445{col 58}{space 4}-.1498518{col 71}{space 3} .0658017
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2} .0140251{col 30}{space 2} .0179057{col 41}{space 1}    0.78{col 50}{space 3}0.434{col 58}{space 4}-.0210979{col 71}{space 3} .0491481
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0078684{col 30}{space 2} .0115069{col 41}{space 1}    0.68{col 50}{space 3}0.494{col 58}{space 4}-.0147029{col 71}{space 3} .0304398
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0016224{col 30}{space 2} .0003522{col 41}{space 1}    4.61{col 50}{space 3}0.000{col 58}{space 4} .0009316{col 71}{space 3} .0023132
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0328637{col 30}{space 2} .0113428{col 41}{space 1}    2.90{col 50}{space 3}0.004{col 58}{space 4} .0106141{col 71}{space 3} .0551133
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0472489{col 30}{space 2} .0134285{col 41}{space 1}   -3.52{col 50}{space 3}0.000{col 58}{space 4}-.0735897{col 71}{space 3}-.0209081
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0152753{col 30}{space 2} .0235828{col 41}{space 1}    0.65{col 50}{space 3}0.517{col 58}{space 4}-.0309837{col 71}{space 3} .0615343
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0511804{col 30}{space 2}  .021181{col 41}{space 1}    2.42{col 50}{space 3}0.016{col 58}{space 4} .0096327{col 71}{space 3} .0927282
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0330695{col 30}{space 2} .0171055{col 41}{space 1}   -1.93{col 50}{space 3}0.053{col 58}{space 4}-.0666229{col 71}{space 3} .0004839
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0193556{col 30}{space 2} .0176124{col 41}{space 1}   -1.10{col 50}{space 3}0.272{col 58}{space 4}-.0539033{col 71}{space 3} .0151922
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0254821{col 30}{space 2} .0154476{col 41}{space 1}   -1.65{col 50}{space 3}0.099{col 58}{space 4}-.0557835{col 71}{space 3} .0048192
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0793123{col 30}{space 2} .0176097{col 41}{space 1}   -4.50{col 50}{space 3}0.000{col 58}{space 4}-.1138546{col 71}{space 3}-.0447699
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8507452{col 30}{space 2} .0339143{col 41}{space 1}   25.09{col 50}{space 3}0.000{col 58}{space 4} .7842205{col 71}{space 3}   .91727
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,510
{txt}{hline 13}{c +}{hline 34}   F(18, 1491)     = {res}    28.34
{txt}       Model {c |} {res} 37.1847951        18  2.06582195   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 108.669344     1,491  .072883531   {txt}R-squared       ={res}    0.2549
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2460
{txt}       Total {c |} {res} 145.854139     1,509  .096656156   {txt}Root MSE        =   {res} .26997

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0331824{col 30}{space 2} .0403244{col 41}{space 1}   -0.82{col 50}{space 3}0.411{col 58}{space 4}-.1122809{col 71}{space 3} .0459161
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} -.026463{col 30}{space 2} .0406338{col 41}{space 1}   -0.65{col 50}{space 3}0.515{col 58}{space 4}-.1061684{col 71}{space 3} .0532424
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0084238{col 30}{space 2} .0398041{col 41}{space 1}   -0.21{col 50}{space 3}0.832{col 58}{space 4}-.0865018{col 71}{space 3} .0696541
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.4927326{col 30}{space 2} .0526324{col 41}{space 1}   -9.36{col 50}{space 3}0.000{col 58}{space 4} -.595974{col 71}{space 3}-.3894911
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0178513{col 30}{space 2} .0711921{col 41}{space 1}   -0.25{col 50}{space 3}0.802{col 58}{space 4}-.1574985{col 71}{space 3}  .121796
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0458705{col 30}{space 2} .0718357{col 41}{space 1}   -0.64{col 50}{space 3}0.523{col 58}{space 4}-.1867803{col 71}{space 3} .0950392
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} -.004113{col 30}{space 2} .0691914{col 41}{space 1}   -0.06{col 50}{space 3}0.953{col 58}{space 4}-.1398359{col 71}{space 3}   .13161
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2}-.0120057{col 30}{space 2}  .022528{col 41}{space 1}   -0.53{col 50}{space 3}0.594{col 58}{space 4}-.0561957{col 71}{space 3} .0321843
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}-.0078897{col 30}{space 2} .0144826{col 41}{space 1}   -0.54{col 50}{space 3}0.586{col 58}{space 4}-.0362981{col 71}{space 3} .0205187
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0019713{col 30}{space 2} .0004431{col 41}{space 1}    4.45{col 50}{space 3}0.000{col 58}{space 4} .0011021{col 71}{space 3} .0028404
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0312418{col 30}{space 2} .0142726{col 41}{space 1}    2.19{col 50}{space 3}0.029{col 58}{space 4} .0032454{col 71}{space 3} .0592383
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0379618{col 30}{space 2} .0168934{col 41}{space 1}   -2.25{col 50}{space 3}0.025{col 58}{space 4}-.0710992{col 71}{space 3}-.0048243
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2}-.0093944{col 30}{space 2} .0296801{col 41}{space 1}   -0.32{col 50}{space 3}0.752{col 58}{space 4}-.0676136{col 71}{space 3} .0488247
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0206911{col 30}{space 2} .0266505{col 41}{space 1}    0.78{col 50}{space 3}0.438{col 58}{space 4}-.0315853{col 71}{space 3} .0729675
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0629088{col 30}{space 2}   .02152{col 41}{space 1}   -2.92{col 50}{space 3}0.004{col 58}{space 4}-.1051214{col 71}{space 3}-.0206961
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0388074{col 30}{space 2} .0221765{col 41}{space 1}   -1.75{col 50}{space 3}0.080{col 58}{space 4}-.0823079{col 71}{space 3}  .004693
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0374246{col 30}{space 2} .0194331{col 41}{space 1}   -1.93{col 50}{space 3}0.054{col 58}{space 4}-.0755436{col 71}{space 3} .0006945
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0874875{col 30}{space 2}  .022153{col 41}{space 1}   -3.95{col 50}{space 3}0.000{col 58}{space 4}-.1309418{col 71}{space 3}-.0440332
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8650286{col 30}{space 2} .0426846{col 41}{space 1}   20.27{col 50}{space 3}0.000{col 58}{space 4} .7813004{col 71}{space 3} .9487569
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ///*controlling for the mode by which participants took the survey
> reg behavindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest mobile if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,508
{txt}{hline 13}{c +}{hline 34}   F(16, 1491)     = {res}    23.51
{txt}       Model {c |} {res} 17.2252251        16  1.07657657   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 68.2788847     1,491  .045794021   {txt}R-squared       ={res}    0.2015
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1929
{txt}       Total {c |} {res} 85.5041098     1,507  .056737963   {txt}Root MSE        =   {res}   .214

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2} -.035131{col 26}{space 2} .0159337{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.0663857{col 67}{space 3}-.0038762
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0321313{col 26}{space 2} .0160537{col 37}{space 1}   -2.00{col 46}{space 3}0.046{col 54}{space 4}-.0636216{col 67}{space 3} -.000641
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0224991{col 26}{space 2}  .015958{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-.0538016{col 67}{space 3} .0088034
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.3274779{col 26}{space 2} .0201221{col 37}{space 1}  -16.27{col 46}{space 3}0.000{col 54}{space 4}-.3669485{col 67}{space 3}-.2880073
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} .0107259{col 26}{space 2} .0178727{col 37}{space 1}    0.60{col 46}{space 3}0.549{col 54}{space 4}-.0243323{col 67}{space 3} .0457842
{txt}{space 6}fampos {c |}{col 14}{res}{space 2} .0075409{col 26}{space 2}  .011493{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.0150033{col 67}{space 3}  .030085
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0015029{col 26}{space 2} .0003847{col 37}{space 1}    3.91{col 46}{space 3}0.000{col 54}{space 4} .0007484{col 67}{space 3} .0022575
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0340721{col 26}{space 2} .0113294{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0118488{col 67}{space 3} .0562954
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0477902{col 26}{space 2}  .013414{col 37}{space 1}   -3.56{col 46}{space 3}0.000{col 54}{space 4}-.0741026{col 67}{space 3}-.0214778
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0162052{col 26}{space 2} .0235811{col 37}{space 1}    0.69{col 46}{space 3}0.492{col 54}{space 4}-.0300504{col 67}{space 3} .0624608
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0459706{col 26}{space 2} .0214089{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .0039758{col 67}{space 3} .0879653
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0330144{col 26}{space 2} .0170892{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-.0665359{col 67}{space 3}  .000507
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0196322{col 26}{space 2} .0175796{col 37}{space 1}   -1.12{col 46}{space 3}0.264{col 54}{space 4}-.0541156{col 67}{space 3} .0148512
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0258495{col 26}{space 2} .0154036{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.0560645{col 67}{space 3} .0043654
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0767166{col 26}{space 2} .0175751{col 37}{space 1}   -4.37{col 46}{space 3}0.000{col 54}{space 4}-.1111911{col 67}{space 3} -.042242
{txt}{space 6}mobile {c |}{col 14}{res}{space 2}-.0098238{col 26}{space 2} .0129266{col 37}{space 1}   -0.76{col 46}{space 3}0.447{col 54}{space 4}-.0351801{col 67}{space 3} .0155325
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8846684{col 26}{space 2} .0335678{col 37}{space 1}   26.35{col 46}{space 3}0.000{col 54}{space 4} .8188232{col 67}{space 3} .9505136
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##i.mobile ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,508
{txt}{hline 13}{c +}{hline 34}   F(19, 1488)     = {res}    19.98
{txt}       Model {c |} {res} 17.3777952        19  .914620802   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 68.1263146     1,488  .045783814   {txt}R-squared       ={res}    0.2032
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1931
{txt}       Total {c |} {res} 85.5041098     1,507  .056737963   {txt}Root MSE        =   {res} .21397

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0174534{col 30}{space 2} .0243484{col 41}{space 1}   -0.72{col 50}{space 3}0.474{col 58}{space 4}-.0652142{col 71}{space 3} .0303074
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}  .001757{col 30}{space 2} .0245457{col 41}{space 1}    0.07{col 50}{space 3}0.943{col 58}{space 4}-.0463909{col 71}{space 3} .0499049
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0056078{col 30}{space 2} .0244713{col 41}{space 1}   -0.23{col 50}{space 3}0.819{col 58}{space 4}-.0536097{col 71}{space 3}  .042394
{txt}{space 16} {c |}
{space 10}mobile {c |}
{space 12}Yes  {c |}{col 18}{res}{space 2} .0206931{col 30}{space 2} .0243084{col 41}{space 1}    0.85{col 50}{space 3}0.395{col 58}{space 4}-.0269894{col 71}{space 3} .0683755
{txt}{space 16} {c |}
condition#mobile {c |}
{space 5}health#Yes  {c |}{col 18}{res}{space 2}-.0313107{col 30}{space 2} .0321865{col 41}{space 1}   -0.97{col 50}{space 3}0.331{col 58}{space 4}-.0944465{col 71}{space 3} .0318251
{txt}{space 7}econ#Yes  {c |}{col 18}{res}{space 2}-.0591675{col 30}{space 2} .0324271{col 41}{space 1}   -1.82{col 50}{space 3}0.068{col 58}{space 4}-.1227752{col 71}{space 3} .0044402
{txt}health/econ#Yes  {c |}{col 18}{res}{space 2}-.0299487{col 30}{space 2} .0322989{col 41}{space 1}   -0.93{col 50}{space 3}0.354{col 58}{space 4}-.0933049{col 71}{space 3} .0334075
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.3264415{col 30}{space 2} .0201371{col 41}{space 1}  -16.21{col 50}{space 3}0.000{col 58}{space 4}-.3659415{col 71}{space 3}-.2869414
{txt}{space 9}selfpos {c |}{col 18}{res}{space 2} .0099637{col 30}{space 2} .0178813{col 41}{space 1}    0.56{col 50}{space 3}0.577{col 58}{space 4}-.0251115{col 71}{space 3} .0450389
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0075018{col 30}{space 2} .0114976{col 41}{space 1}    0.65{col 50}{space 3}0.514{col 58}{space 4}-.0150516{col 71}{space 3} .0300551
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0014719{col 30}{space 2}  .000385{col 41}{space 1}    3.82{col 50}{space 3}0.000{col 58}{space 4} .0007166{col 71}{space 3} .0022271
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0346055{col 30}{space 2} .0113428{col 41}{space 1}    3.05{col 50}{space 3}0.002{col 58}{space 4} .0123559{col 71}{space 3} .0568552
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0479509{col 30}{space 2}  .013423{col 41}{space 1}   -3.57{col 50}{space 3}0.000{col 58}{space 4} -.074281{col 71}{space 3}-.0216208
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0155363{col 30}{space 2} .0235898{col 41}{space 1}    0.66{col 50}{space 3}0.510{col 58}{space 4}-.0307365{col 71}{space 3} .0618091
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0465694{col 30}{space 2} .0214131{col 41}{space 1}    2.17{col 50}{space 3}0.030{col 58}{space 4} .0045664{col 71}{space 3} .0885725
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0325746{col 30}{space 2} .0171433{col 41}{space 1}   -1.90{col 50}{space 3}0.058{col 58}{space 4}-.0662021{col 71}{space 3}  .001053
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0197735{col 30}{space 2} .0175868{col 41}{space 1}   -1.12{col 50}{space 3}0.261{col 58}{space 4}-.0542711{col 71}{space 3} .0147241
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0250983{col 30}{space 2} .0154129{col 41}{space 1}   -1.63{col 50}{space 3}0.104{col 58}{space 4}-.0553317{col 71}{space 3} .0051351
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0762011{col 30}{space 2} .0175779{col 41}{space 1}   -4.34{col 50}{space 3}0.000{col 58}{space 4}-.1106812{col 71}{space 3} -.041721
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8679369{col 30}{space 2} .0353949{col 41}{space 1}   24.52{col 50}{space 3}0.000{col 58}{space 4} .7985077{col 71}{space 3} .9373661
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest mobile if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,507
{txt}{hline 13}{c +}{hline 34}   F(16, 1490)     = {res}    31.87
{txt}       Model {c |} {res} 37.0809996        16  2.31756248   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 108.358029     1,490  .072723509   {txt}R-squared       ={res}    0.2550
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2470
{txt}       Total {c |} {res} 145.439028     1,506   .09657306   {txt}Root MSE        =   {res} .26967

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0420134{col 26}{space 2} .0200793{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}   -.0814{col 67}{space 3}-.0026267
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0480352{col 26}{space 2} .0202306{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}-.0877187{col 67}{space 3}-.0083517
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0112818{col 26}{space 2} .0201215{col 37}{space 1}   -0.56{col 46}{space 3}0.575{col 54}{space 4}-.0507513{col 67}{space 3} .0281877
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.5097901{col 26}{space 2} .0253716{col 37}{space 1}  -20.09{col 46}{space 3}0.000{col 54}{space 4}-.5595579{col 67}{space 3}-.4600222
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2}-.0154376{col 26}{space 2} .0225258{col 37}{space 1}   -0.69{col 46}{space 3}0.493{col 54}{space 4}-.0596233{col 67}{space 3} .0287481
{txt}{space 6}fampos {c |}{col 14}{res}{space 2}-.0088369{col 26}{space 2} .0144896{col 37}{space 1}   -0.61{col 46}{space 3}0.542{col 54}{space 4}-.0372591{col 67}{space 3} .0195854
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0021223{col 26}{space 2}  .000485{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .0011708{col 67}{space 3} .0030737
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0310021{col 26}{space 2} .0142822{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0029867{col 67}{space 3} .0590175
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0375496{col 26}{space 2}  .016905{col 37}{space 1}   -2.22{col 46}{space 3}0.026{col 54}{space 4}-.0707097{col 67}{space 3}-.0043895
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2}-.0061362{col 26}{space 2} .0297321{col 37}{space 1}   -0.21{col 46}{space 3}0.837{col 54}{space 4}-.0644574{col 67}{space 3} .0521851
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0220011{col 26}{space 2} .0269891{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-.0309395{col 67}{space 3} .0749418
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0619485{col 26}{space 2}  .021537{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.1041945{col 67}{space 3}-.0197024
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0385531{col 26}{space 2} .0221746{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-.0820498{col 67}{space 3} .0049437
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0385874{col 26}{space 2} .0194113{col 37}{space 1}   -1.99{col 46}{space 3}0.047{col 54}{space 4}-.0766638{col 67}{space 3}-.0005111
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0866314{col 26}{space 2} .0221478{col 37}{space 1}   -3.91{col 46}{space 3}0.000{col 54}{space 4}-.1300756{col 67}{space 3}-.0431871
{txt}{space 6}mobile {c |}{col 14}{res}{space 2} .0119362{col 26}{space 2} .0163134{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-.0200636{col 67}{space 3} .0439359
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8573932{col 26}{space 2} .0423862{col 37}{space 1}   20.23{col 46}{space 3}0.000{col 54}{space 4} .7742503{col 67}{space 3} .9405362
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##i.mobile ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,507
{txt}{hline 13}{c +}{hline 34}   F(19, 1487)     = {res}    26.88
{txt}       Model {c |} {res} 37.1855803        19  1.95713581   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 108.253448     1,487  .072799898   {txt}R-squared       ={res}    0.2557
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2462
{txt}       Total {c |} {res} 145.439028     1,506   .09657306   {txt}Root MSE        =   {res} .26981

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0320458{col 30}{space 2}  .030703{col 41}{space 1}   -1.04{col 50}{space 3}0.297{col 58}{space 4}-.0922716{col 71}{space 3}   .02818
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} -.023894{col 30}{space 2} .0309519{col 41}{space 1}   -0.77{col 50}{space 3}0.440{col 58}{space 4}-.0846079{col 71}{space 3}   .03682
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .0115562{col 30}{space 2}  .030858{col 41}{space 1}    0.37{col 50}{space 3}0.708{col 58}{space 4}-.0489736{col 71}{space 3} .0720861
{txt}{space 16} {c |}
{space 10}mobile {c |}
{space 12}Yes  {c |}{col 18}{res}{space 2} .0374733{col 30}{space 2} .0306559{col 41}{space 1}    1.22{col 50}{space 3}0.222{col 58}{space 4}-.0226602{col 71}{space 3} .0976068
{txt}{space 16} {c |}
condition#mobile {c |}
{space 5}health#Yes  {c |}{col 18}{res}{space 2}-.0179221{col 30}{space 2} .0405869{col 41}{space 1}   -0.44{col 50}{space 3}0.659{col 58}{space 4}-.0975357{col 71}{space 3} .0616915
{txt}{space 7}econ#Yes  {c |}{col 18}{res}{space 2}-.0422705{col 30}{space 2} .0408903{col 41}{space 1}   -1.03{col 50}{space 3}0.301{col 58}{space 4}-.1224793{col 71}{space 3} .0379382
{txt}health/econ#Yes  {c |}{col 18}{res}{space 2}-.0399494{col 30}{space 2} .0407508{col 41}{space 1}   -0.98{col 50}{space 3}0.327{col 58}{space 4}-.1198845{col 71}{space 3} .0399857
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.5094343{col 30}{space 2} .0254075{col 41}{space 1}  -20.05{col 50}{space 3}0.000{col 58}{space 4}-.5592726{col 71}{space 3} -.459596
{txt}{space 9}selfpos {c |}{col 18}{res}{space 2}-.0156355{col 30}{space 2} .0225513{col 41}{space 1}   -0.69{col 50}{space 3}0.488{col 58}{space 4}-.0598713{col 71}{space 3} .0286004
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}-.0091654{col 30}{space 2} .0145053{col 41}{space 1}   -0.63{col 50}{space 3}0.528{col 58}{space 4}-.0376184{col 71}{space 3} .0192875
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0021016{col 30}{space 2} .0004858{col 41}{space 1}    4.33{col 50}{space 3}0.000{col 58}{space 4} .0011487{col 71}{space 3} .0030545
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0310686{col 30}{space 2} .0143079{col 41}{space 1}    2.17{col 50}{space 3}0.030{col 58}{space 4} .0030029{col 71}{space 3} .0591344
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0376856{col 30}{space 2} .0169272{col 41}{space 1}   -2.23{col 50}{space 3}0.026{col 58}{space 4}-.0708894{col 71}{space 3}-.0044819
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2}-.0063329{col 30}{space 2} .0297617{col 41}{space 1}   -0.21{col 50}{space 3}0.832{col 58}{space 4}-.0647122{col 71}{space 3} .0520465
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0224953{col 30}{space 2} .0270113{col 41}{space 1}    0.83{col 50}{space 3}0.405{col 58}{space 4} -.030489{col 71}{space 3} .0754796
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0605631{col 30}{space 2} .0216198{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-.1029716{col 71}{space 3}-.0181545
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0391114{col 30}{space 2} .0221989{col 41}{space 1}   -1.76{col 50}{space 3}0.078{col 58}{space 4}-.0826559{col 71}{space 3} .0044331
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0383913{col 30}{space 2} .0194355{col 41}{space 1}   -1.98{col 50}{space 3}0.048{col 58}{space 4}-.0765152{col 71}{space 3}-.0002675
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0864785{col 30}{space 2} .0221655{col 41}{space 1}   -3.90{col 50}{space 3}0.000{col 58}{space 4}-.1299573{col 71}{space 3}-.0429996
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8433039{col 30}{space 2} .0446992{col 41}{space 1}   18.87{col 50}{space 3}0.000{col 58}{space 4} .7556237{col 71}{space 3} .9309841
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest mobile if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,508
{txt}{hline 13}{c +}{hline 34}   F(19, 1488)     = {res}    19.86
{txt}       Model {c |} {res} 17.2957189        19  .910300993   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 68.2083909     1,488  .045838972   {txt}R-squared       ={res}    0.2023
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1921
{txt}       Total {c |} {res} 85.5041098     1,507  .056737963   {txt}Root MSE        =   {res}  .2141

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0079764{col 30}{space 2} .0319816{col 41}{space 1}   -0.25{col 50}{space 3}0.803{col 58}{space 4}-.0707103{col 71}{space 3} .0547575
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} .0000317{col 30}{space 2} .0322625{col 41}{space 1}    0.00{col 50}{space 3}0.999{col 58}{space 4}-.0632531{col 71}{space 3} .0633166
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .0010863{col 30}{space 2} .0315799{col 41}{space 1}    0.03{col 50}{space 3}0.973{col 58}{space 4}-.0608595{col 71}{space 3} .0630322
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.2838224{col 30}{space 2} .0417478{col 41}{space 1}   -6.80{col 50}{space 3}0.000{col 58}{space 4}-.3657133{col 71}{space 3}-.2019316
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0553867{col 30}{space 2} .0564715{col 41}{space 1}   -0.98{col 50}{space 3}0.327{col 58}{space 4}-.1661589{col 71}{space 3} .0553855
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} -.065619{col 30}{space 2} .0571219{col 41}{space 1}   -1.15{col 50}{space 3}0.251{col 58}{space 4} -.177667{col 71}{space 3}  .046429
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0480094{col 30}{space 2} .0549187{col 41}{space 1}   -0.87{col 50}{space 3}0.382{col 58}{space 4}-.1557357{col 71}{space 3} .0597168
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2} .0109323{col 30}{space 2} .0179032{col 41}{space 1}    0.61{col 50}{space 3}0.542{col 58}{space 4}-.0241859{col 71}{space 3} .0460505
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0073765{col 30}{space 2} .0115002{col 41}{space 1}    0.64{col 50}{space 3}0.521{col 58}{space 4}-.0151819{col 71}{space 3} .0299349
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0015049{col 30}{space 2} .0003851{col 41}{space 1}    3.91{col 50}{space 3}0.000{col 58}{space 4} .0007495{col 71}{space 3} .0022604
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0342101{col 30}{space 2} .0113559{col 41}{space 1}    3.01{col 50}{space 3}0.003{col 58}{space 4} .0119349{col 71}{space 3} .0564853
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0476441{col 30}{space 2} .0134223{col 41}{space 1}   -3.55{col 50}{space 3}0.000{col 58}{space 4}-.0739727{col 71}{space 3}-.0213154
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0163508{col 30}{space 2} .0236365{col 41}{space 1}    0.69{col 50}{space 3}0.489{col 58}{space 4}-.0300135{col 71}{space 3} .0627152
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0469967{col 30}{space 2} .0214388{col 41}{space 1}    2.19{col 50}{space 3}0.029{col 58}{space 4} .0049432{col 71}{space 3} .0890502
{txt}{space 11}rural {c |}{col 18}{res}{space 2} -.033291{col 30}{space 2} .0171155{col 41}{space 1}   -1.95{col 50}{space 3}0.052{col 58}{space 4}-.0668641{col 71}{space 3}  .000282
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0191901{col 30}{space 2} .0175942{col 41}{space 1}   -1.09{col 50}{space 3}0.276{col 58}{space 4}-.0537021{col 71}{space 3}  .015322
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0259176{col 30}{space 2} .0154193{col 41}{space 1}   -1.68{col 50}{space 3}0.093{col 58}{space 4}-.0561634{col 71}{space 3} .0043283
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0770579{col 30}{space 2} .0175968{col 41}{space 1}   -4.38{col 50}{space 3}0.000{col 58}{space 4}-.1115751{col 71}{space 3}-.0425408
{txt}{space 10}mobile {c |}{col 18}{res}{space 2}-.0093546{col 30}{space 2} .0129451{col 41}{space 1}   -0.72{col 50}{space 3}0.470{col 58}{space 4}-.0347471{col 71}{space 3} .0160379
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8625233{col 30}{space 2}  .038195{col 41}{space 1}   22.58{col 50}{space 3}0.000{col 58}{space 4} .7876014{col 71}{space 3} .9374451
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.ideo##i.mobile selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,508
{txt}{hline 13}{c +}{hline 34}   F(26, 1481)     = {res}    15.11
{txt}       Model {c |} {res} 17.9218414        26  .689301594   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 67.5822684     1,481  .045632862   {txt}R-squared       ={res}    0.2096
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1957
{txt}       Total {c |} {res} 85.5041098     1,507  .056737963   {txt}Root MSE        =   {res} .21362

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             behavindex{col 25}{c |} Coefficient{col 37}  Std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}condition {c |}
{space 16}health  {c |}{col 25}{res}{space 2} -.015381{col 37}{space 2} .0506401{col 48}{space 1}   -0.30{col 57}{space 3}0.761{col 65}{space 4} -.114715{col 78}{space 3}  .083953
{txt}{space 18}econ  {c |}{col 25}{res}{space 2}-.0334238{col 37}{space 2} .0491445{col 48}{space 1}   -0.68{col 57}{space 3}0.497{col 65}{space 4}-.1298241{col 78}{space 3} .0629765
{txt}{space 11}health/econ  {c |}{col 25}{res}{space 2}-.0236028{col 37}{space 2} .0485476{col 48}{space 1}   -0.49{col 57}{space 3}0.627{col 65}{space 4}-.1188321{col 78}{space 3} .0716266
{txt}{space 23} {c |}
{space 19}ideo {c |}{col 25}{res}{space 2}-.3972641{col 37}{space 2} .0596711{col 48}{space 1}   -6.66{col 57}{space 3}0.000{col 65}{space 4}-.5143131{col 78}{space 3}-.2802152
{txt}{space 23} {c |}
{space 7}condition#c.ideo {c |}
{space 16}health  {c |}{col 25}{res}{space 2}-.0028545{col 37}{space 2} .0853821{col 48}{space 1}   -0.03{col 57}{space 3}0.973{col 65}{space 4}-.1703373{col 78}{space 3} .1646283
{txt}{space 18}econ  {c |}{col 25}{res}{space 2} .0671529{col 37}{space 2} .0843319{col 48}{space 1}    0.80{col 57}{space 3}0.426{col 65}{space 4}-.0982699{col 78}{space 3} .2325756
{txt}{space 11}health/econ  {c |}{col 25}{res}{space 2} .0363059{col 37}{space 2} .0797071{col 48}{space 1}    0.46{col 57}{space 3}0.649{col 65}{space 4}-.1200449{col 78}{space 3} .1926567
{txt}{space 23} {c |}
{space 17}mobile {c |}
{space 19}Yes  {c |}{col 25}{res}{space 2}-.0905116{col 37}{space 2} .0476687{col 48}{space 1}   -1.90{col 57}{space 3}0.058{col 65}{space 4}-.1840171{col 78}{space 3} .0029938
{txt}{space 23} {c |}
{space 7}condition#mobile {c |}
{space 12}health#Yes  {c |}{col 25}{res}{space 2} .0283217{col 37}{space 2} .0654378{col 48}{space 1}    0.43{col 57}{space 3}0.665{col 65}{space 4}-.1000389{col 78}{space 3} .1566823
{txt}{space 14}econ#Yes  {c |}{col 25}{res}{space 2} .0691571{col 37}{space 2}  .065033{col 48}{space 1}    1.06{col 57}{space 3}0.288{col 65}{space 4}-.0584095{col 78}{space 3} .1967236
{txt}{space 7}health/econ#Yes  {c |}{col 25}{res}{space 2} .0526685{col 37}{space 2}   .06405{col 48}{space 1}    0.82{col 57}{space 3}0.411{col 65}{space 4}-.0729697{col 78}{space 3} .1783068
{txt}{space 23} {c |}
{space 10}mobile#c.ideo {c |}
{space 19}Yes  {c |}{col 25}{res}{space 2} .2300371{col 37}{space 2} .0827948{col 48}{space 1}    2.78{col 57}{space 3}0.006{col 65}{space 4} .0676295{col 78}{space 3} .3924447
{txt}{space 23} {c |}
condition#mobile#c.ideo {c |}
{space 12}health#Yes  {c |}{col 25}{res}{space 2}-.1292158{col 37}{space 2} .1143533{col 48}{space 1}   -1.13{col 57}{space 3}0.259{col 65}{space 4}-.3535275{col 78}{space 3}  .095096
{txt}{space 14}econ#Yes  {c |}{col 25}{res}{space 2}-.2649216{col 37}{space 2} .1145428{col 48}{space 1}   -2.31{col 57}{space 3}0.021{col 65}{space 4}-.4896049{col 78}{space 3}-.0402383
{txt}{space 7}health/econ#Yes  {c |}{col 25}{res}{space 2}-.1752955{col 37}{space 2} .1102723{col 48}{space 1}   -1.59{col 57}{space 3}0.112{col 65}{space 4}-.3916019{col 78}{space 3} .0410109
{txt}{space 23} {c |}
{space 16}selfpos {c |}{col 25}{res}{space 2} .0107867{col 37}{space 2} .0178793{col 48}{space 1}    0.60{col 57}{space 3}0.546{col 65}{space 4}-.0242849{col 78}{space 3} .0458582
{txt}{space 17}fampos {c |}{col 25}{res}{space 2}  .008079{col 37}{space 2} .0114939{col 48}{space 1}    0.70{col 57}{space 3}0.482{col 65}{space 4}-.0144671{col 78}{space 3} .0306252
{txt}{space 20}age {c |}{col 25}{res}{space 2} .0014706{col 37}{space 2} .0003849{col 48}{space 1}    3.82{col 57}{space 3}0.000{col 65}{space 4} .0007156{col 78}{space 3} .0022256
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0344783{col 37}{space 2} .0113485{col 48}{space 1}    3.04{col 57}{space 3}0.002{col 65}{space 4} .0122174{col 78}{space 3} .0567392
{txt}{space 14}onlywhite {c |}{col 25}{res}{space 2}-.0495272{col 37}{space 2} .0134142{col 48}{space 1}   -3.69{col 57}{space 3}0.000{col 65}{space 4}-.0758401{col 78}{space 3}-.0232144
{txt}{space 18}edu01 {c |}{col 25}{res}{space 2}  .014733{col 37}{space 2} .0236094{col 48}{space 1}    0.62{col 57}{space 3}0.533{col 65}{space 4}-.0315784{col 78}{space 3} .0610444
{txt}{space 13}incomefull {c |}{col 25}{res}{space 2} .0475907{col 37}{space 2} .0214216{col 48}{space 1}    2.22{col 57}{space 3}0.026{col 65}{space 4} .0055707{col 78}{space 3} .0896106
{txt}{space 18}rural {c |}{col 25}{res}{space 2}-.0296545{col 37}{space 2} .0171674{col 48}{space 1}   -1.73{col 57}{space 3}0.084{col 65}{space 4}-.0633295{col 78}{space 3} .0040204
{txt}{space 19}west {c |}{col 25}{res}{space 2}-.0179026{col 37}{space 2} .0176084{col 48}{space 1}   -1.02{col 57}{space 3}0.309{col 65}{space 4}-.0524428{col 78}{space 3} .0166375
{txt}{space 18}south {c |}{col 25}{res}{space 2}-.0259783{col 37}{space 2} .0153992{col 48}{space 1}   -1.69{col 57}{space 3}0.092{col 65}{space 4}-.0561849{col 78}{space 3} .0042282
{txt}{space 16}midwest {c |}{col 25}{res}{space 2}-.0766437{col 37}{space 2} .0175635{col 48}{space 1}   -4.36{col 57}{space 3}0.000{col 65}{space 4}-.1110958{col 78}{space 3}-.0421916
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .9042464{col 37}{space 2}  .045816{col 48}{space 1}   19.74{col 57}{space 3}0.000{col 65}{space 4} .8143753{col 78}{space 3} .9941176
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest mobile if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,507
{txt}{hline 13}{c +}{hline 34}   F(19, 1487)     = {res}    26.81
{txt}       Model {c |} {res} 37.1090937        19  1.95311019   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 108.329935     1,487  .072851335   {txt}R-squared       ={res}    0.2552
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2456
{txt}       Total {c |} {res} 145.439028     1,506   .09657306   {txt}Root MSE        =   {res} .26991

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0326242{col 30}{space 2} .0403188{col 41}{space 1}   -0.81{col 50}{space 3}0.419{col 58}{space 4} -.111712{col 71}{space 3} .0464636
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}  -.02733{col 30}{space 2} .0406725{col 41}{space 1}   -0.67{col 50}{space 3}0.502{col 58}{space 4}-.1071116{col 71}{space 3} .0524515
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0063221{col 30}{space 2} .0398151{col 41}{space 1}   -0.16{col 50}{space 3}0.874{col 58}{space 4}-.0844218{col 71}{space 3} .0717775
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.4918453{col 30}{space 2} .0526312{col 41}{space 1}   -9.35{col 50}{space 3}0.000{col 58}{space 4}-.5950846{col 71}{space 3} -.388606
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0191867{col 30}{space 2} .0711933{col 41}{space 1}   -0.27{col 50}{space 3}0.788{col 58}{space 4}-.1588366{col 71}{space 3} .1204633
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0422872{col 30}{space 2} .0720122{col 41}{space 1}   -0.59{col 50}{space 3}0.557{col 58}{space 4}-.1835434{col 71}{space 3}  .098969
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0103317{col 30}{space 2}  .069275{col 41}{space 1}   -0.15{col 50}{space 3}0.881{col 58}{space 4}-.1462188{col 71}{space 3} .1255553
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2}-.0149488{col 30}{space 2} .0225726{col 41}{space 1}   -0.66{col 50}{space 3}0.508{col 58}{space 4}-.0592264{col 71}{space 3} .0293288
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}-.0089726{col 30}{space 2} .0145042{col 41}{space 1}   -0.62{col 50}{space 3}0.536{col 58}{space 4}-.0374234{col 71}{space 3} .0194782
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0021257{col 30}{space 2} .0004858{col 41}{space 1}    4.38{col 50}{space 3}0.000{col 58}{space 4} .0011727{col 71}{space 3} .0030787
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0313737{col 30}{space 2} .0143206{col 41}{space 1}    2.19{col 50}{space 3}0.029{col 58}{space 4}  .003283{col 71}{space 3} .0594644
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2} -.037439{col 30}{space 2} .0169219{col 41}{space 1}   -2.21{col 50}{space 3}0.027{col 58}{space 4}-.0706324{col 71}{space 3}-.0042456
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} -.006201{col 30}{space 2} .0298152{col 41}{space 1}   -0.21{col 50}{space 3}0.835{col 58}{space 4}-.0646853{col 71}{space 3} .0522833
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0227072{col 30}{space 2} .0270377{col 41}{space 1}    0.84{col 50}{space 3}0.401{col 58}{space 4} -.030329{col 71}{space 3} .0757434
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0618075{col 30}{space 2}  .021578{col 41}{space 1}   -2.86{col 50}{space 3}0.004{col 58}{space 4}-.1041341{col 71}{space 3} -.019481
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0381964{col 30}{space 2} .0222023{col 41}{space 1}   -1.72{col 50}{space 3}0.086{col 58}{space 4}-.0817476{col 71}{space 3} .0053548
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0384012{col 30}{space 2} .0194387{col 41}{space 1}   -1.98{col 50}{space 3}0.048{col 58}{space 4}-.0765313{col 71}{space 3}-.0002711
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0868864{col 30}{space 2} .0221837{col 41}{space 1}   -3.92{col 50}{space 3}0.000{col 58}{space 4}-.1304011{col 71}{space 3}-.0433716
{txt}{space 10}mobile {c |}{col 18}{res}{space 2}   .01235{col 30}{space 2} .0163443{col 41}{space 1}    0.76{col 50}{space 3}0.450{col 58}{space 4}-.0197104{col 71}{space 3} .0444104
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8475698{col 30}{space 2} .0482193{col 41}{space 1}   17.58{col 50}{space 3}0.000{col 58}{space 4} .7529848{col 71}{space 3} .9421549
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.ideo##i.mobile selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 & duration>=5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,507
{txt}{hline 13}{c +}{hline 34}   F(26, 1480)     = {res}    20.16
{txt}       Model {c |} {res} 38.0368445        26  1.46295556   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 107.402184     1,480  .072569043   {txt}R-squared       ={res}    0.2615
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2486
{txt}       Total {c |} {res} 145.439028     1,506   .09657306   {txt}Root MSE        =   {res} .26939

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               polindex{col 25}{c |} Coefficient{col 37}  Std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}condition {c |}
{space 16}health  {c |}{col 25}{res}{space 2} .0182993{col 37}{space 2} .0638606{col 48}{space 1}    0.29{col 57}{space 3}0.774{col 65}{space 4}-.1069678{col 78}{space 3} .1435663
{txt}{space 18}econ  {c |}{col 25}{res}{space 2}-.0660033{col 37}{space 2} .0619744{col 48}{space 1}   -1.07{col 57}{space 3}0.287{col 65}{space 4}-.1875702{col 78}{space 3} .0555637
{txt}{space 11}health/econ  {c |}{col 25}{res}{space 2}  .039211{col 37}{space 2} .0612216{col 48}{space 1}    0.64{col 57}{space 3}0.522{col 65}{space 4}-.0808793{col 78}{space 3} .1593013
{txt}{space 23} {c |}
{space 19}ideo {c |}{col 25}{res}{space 2}-.5480261{col 37}{space 2} .0752495{col 48}{space 1}   -7.28{col 57}{space 3}0.000{col 65}{space 4}-.6956331{col 78}{space 3}-.4004191
{txt}{space 23} {c |}
{space 7}condition#c.ideo {c |}
{space 16}health  {c |}{col 25}{res}{space 2}-.0954671{col 37}{space 2} .1076734{col 48}{space 1}   -0.89{col 57}{space 3}0.375{col 65}{space 4}-.3066757{col 78}{space 3} .1157415
{txt}{space 18}econ  {c |}{col 25}{res}{space 2} .0830672{col 37}{space 2} .1063481{col 48}{space 1}    0.78{col 57}{space 3}0.435{col 65}{space 4}-.1255418{col 78}{space 3} .2916763
{txt}{space 11}health/econ  {c |}{col 25}{res}{space 2}-.0498758{col 37}{space 2} .1005157{col 48}{space 1}   -0.50{col 57}{space 3}0.620{col 65}{space 4}-.2470442{col 78}{space 3} .1472927
{txt}{space 23} {c |}
{space 17}mobile {c |}
{space 19}Yes  {c |}{col 25}{res}{space 2}-.0184074{col 37}{space 2}  .060115{col 48}{space 1}   -0.31{col 57}{space 3}0.759{col 65}{space 4}-.1363272{col 78}{space 3} .0995123
{txt}{space 23} {c |}
{space 7}condition#mobile {c |}
{space 12}health#Yes  {c |}{col 25}{res}{space 2}-.0729221{col 37}{space 2} .0825212{col 48}{space 1}   -0.88{col 57}{space 3}0.377{col 65}{space 4} -.234793{col 78}{space 3} .0889489
{txt}{space 14}econ#Yes  {c |}{col 25}{res}{space 2}  .074133{col 37}{space 2} .0820108{col 48}{space 1}    0.90{col 57}{space 3}0.366{col 65}{space 4}-.0867368{col 78}{space 3} .2350028
{txt}{space 7}health/econ#Yes  {c |}{col 25}{res}{space 2}-.0730042{col 37}{space 2} .0807783{col 48}{space 1}   -0.90{col 57}{space 3}0.366{col 65}{space 4}-.2314564{col 78}{space 3}  .085448
{txt}{space 23} {c |}
{space 10}mobile#c.ideo {c |}
{space 19}Yes  {c |}{col 25}{res}{space 2} .1160063{col 37}{space 2} .1044095{col 48}{space 1}    1.11{col 57}{space 3}0.267{col 65}{space 4}-.0888001{col 78}{space 3} .3208127
{txt}{space 23} {c |}
condition#mobile#c.ideo {c |}
{space 12}health#Yes  {c |}{col 25}{res}{space 2} .1048814{col 37}{space 2} .1442068{col 48}{space 1}    0.73{col 57}{space 3}0.467{col 65}{space 4}-.1779901{col 78}{space 3} .3877529
{txt}{space 14}econ#Yes  {c |}{col 25}{res}{space 2} -.238509{col 37}{space 2} .1444457{col 48}{space 1}   -1.65{col 57}{space 3}0.099{col 65}{space 4}-.5218491{col 78}{space 3}  .044831
{txt}{space 7}health/econ#Yes  {c |}{col 25}{res}{space 2} .0588984{col 37}{space 2} .1391511{col 48}{space 1}    0.42{col 57}{space 3}0.672{col 65}{space 4} -.214056{col 78}{space 3} .3318529
{txt}{space 23} {c |}
{space 16}selfpos {c |}{col 25}{res}{space 2} -.014702{col 37}{space 2} .0225497{col 48}{space 1}   -0.65{col 57}{space 3}0.515{col 65}{space 4}-.0589349{col 78}{space 3} .0295309
{txt}{space 17}fampos {c |}{col 25}{res}{space 2}-.0092344{col 37}{space 2} .0145017{col 48}{space 1}   -0.64{col 57}{space 3}0.524{col 65}{space 4}-.0376805{col 78}{space 3} .0192117
{txt}{space 20}age {c |}{col 25}{res}{space 2} .0021417{col 37}{space 2} .0004858{col 48}{space 1}    4.41{col 57}{space 3}0.000{col 65}{space 4} .0011889{col 78}{space 3} .0030946
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0305858{col 37}{space 2} .0143154{col 48}{space 1}    2.14{col 57}{space 3}0.033{col 65}{space 4} .0025051{col 78}{space 3} .0586665
{txt}{space 14}onlywhite {c |}{col 25}{res}{space 2}-.0391874{col 37}{space 2}  .016917{col 48}{space 1}   -2.32{col 57}{space 3}0.021{col 65}{space 4}-.0723712{col 78}{space 3}-.0060036
{txt}{space 18}edu01 {c |}{col 25}{res}{space 2} -.008084{col 37}{space 2} .0297881{col 48}{space 1}   -0.27{col 57}{space 3}0.786{col 65}{space 4}-.0665154{col 78}{space 3} .0503474
{txt}{space 13}incomefull {c |}{col 25}{res}{space 2} .0226262{col 37}{space 2} .0270254{col 48}{space 1}    0.84{col 57}{space 3}0.403{col 65}{space 4} -.030386{col 78}{space 3} .0756384
{txt}{space 18}rural {c |}{col 25}{res}{space 2} -.058901{col 37}{space 2} .0216509{col 48}{space 1}   -2.72{col 57}{space 3}0.007{col 65}{space 4}-.1013708{col 78}{space 3}-.0164312
{txt}{space 19}west {c |}{col 25}{res}{space 2} -.038492{col 37}{space 2} .0222265{col 48}{space 1}   -1.73{col 57}{space 3}0.084{col 65}{space 4}-.0820907{col 78}{space 3} .0051067
{txt}{space 18}south {c |}{col 25}{res}{space 2}-.0391715{col 37}{space 2} .0194194{col 48}{space 1}   -2.02{col 57}{space 3}0.044{col 65}{space 4}-.0772639{col 78}{space 3}-.0010791
{txt}{space 16}midwest {c |}{col 25}{res}{space 2}-.0874166{col 37}{space 2} .0221488{col 48}{space 1}   -3.95{col 57}{space 3}0.000{col 65}{space 4}-.1308628{col 78}{space 3}-.0439703
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .8629394{col 37}{space 2} .0578215{col 48}{space 1}   14.92{col 57}{space 3}0.000{col 65}{space 4} .7495186{col 78}{space 3} .9763603
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ///*controlling for vaccination status
> ///tab covidvaxreceipt
> ///gen vaxxed=2-covidvaxreceipt
> ///label val vaxxed ny
> ///label var vaxxed "have a vaccination"
> ///tab covidvaxreceipt vaxxed
> 
. reg behavindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest vaxxed if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(16, 1533)     = {res}    40.37
{txt}       Model {c |} {res} 26.0143919        16  1.62589949   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 61.7464705     1,533  .040278193   {txt}R-squared       ={res}    0.2964
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2891
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res} .20069

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0340559{col 26}{space 2} .0147774{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4} -.063042{col 67}{space 3}-.0050698
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0370997{col 26}{space 2} .0148888{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-.0663043{col 67}{space 3}-.0078952
{txt}health/econ  {c |}{col 14}{res}{space 2} -.023915{col 26}{space 2}   .01481{col 37}{space 1}   -1.61{col 46}{space 3}0.107{col 54}{space 4}-.0529651{col 67}{space 3} .0051351
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.2741044{col 26}{space 2} .0189094{col 37}{space 1}  -14.50{col 46}{space 3}0.000{col 54}{space 4}-.3111954{col 67}{space 3}-.2370133
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} .0072594{col 26}{space 2} .0163552{col 37}{space 1}    0.44{col 46}{space 3}0.657{col 54}{space 4}-.0248215{col 67}{space 3} .0393403
{txt}{space 6}fampos {c |}{col 14}{res}{space 2}  .006895{col 26}{space 2} .0106158{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.0139281{col 67}{space 3} .0277181
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0005781{col 26}{space 2} .0003343{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0000776{col 67}{space 3} .0012337
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0372619{col 26}{space 2} .0104358{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .0167919{col 67}{space 3} .0577319
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0487018{col 26}{space 2} .0123288{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.0728849{col 67}{space 3}-.0245187
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0078906{col 26}{space 2}  .021816{col 37}{space 1}    0.36{col 46}{space 3}0.718{col 54}{space 4}-.0349018{col 67}{space 3}  .050683
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0180383{col 26}{space 2} .0196631{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.0205312{col 67}{space 3} .0566077
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0169217{col 26}{space 2} .0158178{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.0479485{col 67}{space 3}  .014105
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0160643{col 26}{space 2} .0163087{col 37}{space 1}   -0.99{col 46}{space 3}0.325{col 54}{space 4}-.0480539{col 67}{space 3} .0159254
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0146696{col 26}{space 2} .0142949{col 37}{space 1}   -1.03{col 46}{space 3}0.305{col 54}{space 4}-.0427092{col 67}{space 3}   .01337
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0584135{col 26}{space 2} .0163102{col 37}{space 1}   -3.58{col 46}{space 3}0.000{col 54}{space 4}-.0904061{col 67}{space 3}-.0264209
{txt}{space 6}vaxxed {c |}{col 14}{res}{space 2}  .169714{col 26}{space 2} .0115842{col 37}{space 1}   14.65{col 46}{space 3}0.000{col 54}{space 4} .1469914{col 67}{space 3} .1924365
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7798434{col 26}{space 2} .0271131{col 37}{space 1}   28.76{col 46}{space 3}0.000{col 54}{space 4} .7266608{col 67}{space 3}  .833026
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##i.vaxxed ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(19, 1530)     = {res}    34.06
{txt}       Model {c |} {res} 26.0840375        19  1.37284408   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 61.6768249     1,530   .04031165   {txt}R-squared       ={res}    0.2972
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2885
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res} .20078

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0515894{col 30}{space 2} .0253858{col 41}{space 1}   -2.03{col 50}{space 3}0.042{col 58}{space 4} -.101384{col 71}{space 3}-.0017948
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0578147{col 30}{space 2} .0258533{col 41}{space 1}   -2.24{col 50}{space 3}0.025{col 58}{space 4}-.1085265{col 71}{space 3} -.007103
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0238465{col 30}{space 2} .0259938{col 41}{space 1}   -0.92{col 50}{space 3}0.359{col 58}{space 4}-.0748336{col 71}{space 3} .0271407
{txt}{space 16} {c |}
{space 10}vaxxed {c |}
{space 12}yes  {c |}{col 18}{res}{space 2} .1545272{col 30}{space 2}  .023505{col 41}{space 1}    6.57{col 50}{space 3}0.000{col 58}{space 4} .1084219{col 71}{space 3} .2006326
{txt}{space 16} {c |}
condition#vaxxed {c |}
{space 5}health#yes  {c |}{col 18}{res}{space 2} .0264804{col 30}{space 2} .0312049{col 41}{space 1}    0.85{col 50}{space 3}0.396{col 58}{space 4}-.0347285{col 71}{space 3} .0876893
{txt}{space 7}econ#yes  {c |}{col 18}{res}{space 2} .0309945{col 30}{space 2}  .031618{col 41}{space 1}    0.98{col 50}{space 3}0.327{col 58}{space 4}-.0310247{col 71}{space 3} .0930137
{txt}health/econ#yes  {c |}{col 18}{res}{space 2}  .000373{col 30}{space 2} .0316369{col 41}{space 1}    0.01{col 50}{space 3}0.991{col 58}{space 4}-.0616833{col 71}{space 3} .0624293
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.2742725{col 30}{space 2} .0189325{col 41}{space 1}  -14.49{col 50}{space 3}0.000{col 58}{space 4}-.3114089{col 71}{space 3} -.237136
{txt}{space 9}selfpos {c |}{col 18}{res}{space 2} .0073086{col 30}{space 2} .0163705{col 41}{space 1}    0.45{col 50}{space 3}0.655{col 58}{space 4}-.0248024{col 71}{space 3} .0394197
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0071504{col 30}{space 2} .0106453{col 41}{space 1}    0.67{col 50}{space 3}0.502{col 58}{space 4}-.0137304{col 71}{space 3} .0280313
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0005854{col 30}{space 2} .0003347{col 41}{space 1}    1.75{col 50}{space 3}0.081{col 58}{space 4}-.0000712{col 71}{space 3}  .001242
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0374471{col 30}{space 2} .0104522{col 41}{space 1}    3.58{col 50}{space 3}0.000{col 58}{space 4} .0169449{col 71}{space 3} .0579494
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0488558{col 30}{space 2} .0123367{col 41}{space 1}   -3.96{col 50}{space 3}0.000{col 58}{space 4}-.0730544{col 71}{space 3}-.0246571
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0084352{col 30}{space 2}   .02184{col 41}{space 1}    0.39{col 50}{space 3}0.699{col 58}{space 4}-.0344042{col 71}{space 3} .0512747
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0182176{col 30}{space 2} .0196775{col 41}{space 1}    0.93{col 50}{space 3}0.355{col 58}{space 4}-.0203801{col 71}{space 3} .0568153
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0173017{col 30}{space 2} .0158272{col 41}{space 1}   -1.09{col 50}{space 3}0.274{col 58}{space 4}-.0483469{col 71}{space 3} .0137436
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0170491{col 30}{space 2} .0163348{col 41}{space 1}   -1.04{col 50}{space 3}0.297{col 58}{space 4}-.0490901{col 71}{space 3} .0149918
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0143886{col 30}{space 2} .0143066{col 41}{space 1}   -1.01{col 50}{space 3}0.315{col 58}{space 4}-.0424512{col 71}{space 3} .0136741
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0591953{col 30}{space 2} .0163293{col 41}{space 1}   -3.63{col 50}{space 3}0.000{col 58}{space 4}-.0912253{col 71}{space 3}-.0271652
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7896041{col 30}{space 2} .0305808{col 41}{space 1}   25.82{col 50}{space 3}0.000{col 58}{space 4} .7296193{col 71}{space 3} .8495888
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest vaxxed if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(16, 1532)     = {res}    45.99
{txt}       Model {c |} {res}  47.950017        16  2.99687606   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 99.8317975     1,532  .065164359   {txt}R-squared       ={res}    0.3245
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3174
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .25527

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0370506{col 26}{space 2} .0187961{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4}-.0739195{col 67}{space 3}-.0001817
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0528688{col 26}{space 2} .0189378{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-.0900156{col 67}{space 3}-.0157221
{txt}health/econ  {c |}{col 14}{res}{space 2}-.0109728{col 26}{space 2} .0188477{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.0479429{col 67}{space 3} .0259973
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.4440222{col 26}{space 2} .0240648{col 37}{space 1}  -18.45{col 46}{space 3}0.000{col 54}{space 4}-.4912256{col 67}{space 3}-.3968188
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2}-.0190355{col 26}{space 2} .0208059{col 37}{space 1}   -0.91{col 46}{space 3}0.360{col 54}{space 4}-.0598465{col 67}{space 3} .0217755
{txt}{space 6}fampos {c |}{col 14}{res}{space 2}-.0116258{col 26}{space 2}  .013509{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-.0381239{col 67}{space 3} .0148723
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0007559{col 26}{space 2} .0004252{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0000781{col 67}{space 3} .0015899
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0360666{col 26}{space 2} .0132771{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0100233{col 67}{space 3} .0621098
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0457118{col 26}{space 2}  .015682{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-.0764722{col 67}{space 3}-.0149514
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2}-.0242746{col 26}{space 2} .0277589{col 37}{space 1}   -0.87{col 46}{space 3}0.382{col 54}{space 4}-.0787241{col 67}{space 3} .0301749
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2}-.0089078{col 26}{space 2} .0250147{col 37}{space 1}   -0.36{col 46}{space 3}0.722{col 54}{space 4}-.0579746{col 67}{space 3} .0401589
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0463677{col 26}{space 2} .0201209{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4} -.085835{col 67}{space 3}-.0069003
{txt}{space 8}west {c |}{col 14}{res}{space 2} -.033846{col 26}{space 2} .0207621{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.0745711{col 67}{space 3} .0068792
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0228276{col 26}{space 2} .0181824{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.0584927{col 67}{space 3} .0128374
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0627367{col 26}{space 2} .0207457{col 37}{space 1}   -3.02{col 46}{space 3}0.003{col 54}{space 4}-.1034298{col 67}{space 3}-.0220437
{txt}{space 6}vaxxed {c |}{col 14}{res}{space 2} .1908369{col 26}{space 2} .0147347{col 37}{space 1}   12.95{col 46}{space 3}0.000{col 54}{space 4} .1619346{col 67}{space 3} .2197392
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7755117{col 26}{space 2} .0345148{col 37}{space 1}   22.47{col 46}{space 3}0.000{col 54}{space 4} .7078104{col 67}{space 3} .8432129
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##i.vaxxed ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(19, 1529)     = {res}    38.86
{txt}       Model {c |} {res} 48.1252161        19  2.53290611   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 99.6565983     1,529  .065177631   {txt}R-squared       ={res}    0.3257
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3173
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res}  .2553

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0799161{col 30}{space 2} .0322794{col 41}{space 1}   -2.48{col 50}{space 3}0.013{col 58}{space 4}-.1432327{col 71}{space 3}-.0165996
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0792449{col 30}{space 2} .0328739{col 41}{space 1}   -2.41{col 50}{space 3}0.016{col 58}{space 4}-.1437276{col 71}{space 3}-.0147622
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} -.037323{col 30}{space 2} .0330524{col 41}{space 1}   -1.13{col 50}{space 3}0.259{col 58}{space 4}-.1021559{col 71}{space 3} .0275098
{txt}{space 16} {c |}
{space 10}vaxxed {c |}
{space 12}yes  {c |}{col 18}{res}{space 2} .1529035{col 30}{space 2} .0298879{col 41}{space 1}    5.12{col 50}{space 3}0.000{col 58}{space 4} .0942778{col 71}{space 3} .2115291
{txt}{space 16} {c |}
condition#vaxxed {c |}
{space 5}health#yes  {c |}{col 18}{res}{space 2} .0647872{col 30}{space 2} .0396787{col 41}{space 1}    1.63{col 50}{space 3}0.103{col 58}{space 4}-.0130434{col 71}{space 3} .1426177
{txt}{space 7}econ#yes  {c |}{col 18}{res}{space 2} .0397603{col 30}{space 2}  .040204{col 41}{space 1}    0.99{col 50}{space 3}0.323{col 58}{space 4}-.0391005{col 71}{space 3} .1186211
{txt}health/econ#yes  {c |}{col 18}{res}{space 2} .0395844{col 30}{space 2} .0402368{col 41}{space 1}    0.98{col 50}{space 3}0.325{col 58}{space 4}-.0393408{col 71}{space 3} .1185096
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.4449506{col 30}{space 2} .0240869{col 41}{space 1}  -18.47{col 50}{space 3}0.000{col 58}{space 4}-.4921974{col 71}{space 3}-.3977038
{txt}{space 9}selfpos {c |}{col 18}{res}{space 2}-.0182066{col 30}{space 2} .0208187{col 41}{space 1}   -0.87{col 50}{space 3}0.382{col 58}{space 4}-.0590428{col 71}{space 3} .0226295
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}-.0124753{col 30}{space 2} .0135416{col 41}{space 1}   -0.92{col 50}{space 3}0.357{col 58}{space 4}-.0390374{col 71}{space 3} .0140869
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0007789{col 30}{space 2} .0004257{col 41}{space 1}    1.83{col 50}{space 3}0.067{col 58}{space 4} -.000056{col 71}{space 3} .0016138
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0356932{col 30}{space 2} .0132942{col 41}{space 1}    2.68{col 50}{space 3}0.007{col 58}{space 4} .0096164{col 71}{space 3} .0617701
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0454983{col 30}{space 2} .0156872{col 41}{space 1}   -2.90{col 50}{space 3}0.004{col 58}{space 4}-.0762689{col 71}{space 3}-.0147276
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2}-.0238429{col 30}{space 2}   .02778{col 41}{space 1}   -0.86{col 50}{space 3}0.391{col 58}{space 4}-.0783338{col 71}{space 3} .0306481
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2}-.0094256{col 30}{space 2}  .025025{col 41}{space 1}   -0.38{col 50}{space 3}0.706{col 58}{space 4}-.0585126{col 71}{space 3} .0396613
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0467947{col 30}{space 2} .0201264{col 41}{space 1}   -2.33{col 50}{space 3}0.020{col 58}{space 4}-.0862731{col 71}{space 3}-.0073164
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0350699{col 30}{space 2} .0207893{col 41}{space 1}   -1.69{col 50}{space 3}0.092{col 58}{space 4}-.0758484{col 71}{space 3} .0057086
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0229892{col 30}{space 2} .0181916{col 41}{space 1}   -1.26{col 50}{space 3}0.207{col 58}{space 4}-.0586724{col 71}{space 3} .0126939
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0632196{col 30}{space 2} .0207635{col 41}{space 1}   -3.04{col 50}{space 3}0.002{col 58}{space 4}-.1039476{col 71}{space 3}-.0224915
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8010362{col 30}{space 2} .0389054{col 41}{space 1}   20.59{col 50}{space 3}0.000{col 58}{space 4} .7247226{col 71}{space 3} .8773498
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest vaxxed if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(19, 1530)     = {res}    34.04
{txt}       Model {c |} {res} 26.0731218        19  1.37226957   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 61.6877406     1,530  .040318785   {txt}R-squared       ={res}    0.2971
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2884
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res}  .2008

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0034494{col 30}{space 2} .0296426{col 41}{space 1}   -0.12{col 50}{space 3}0.907{col 58}{space 4}-.0615938{col 71}{space 3} .0546949
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0164657{col 30}{space 2} .0297159{col 41}{space 1}   -0.55{col 50}{space 3}0.580{col 58}{space 4} -.074754{col 71}{space 3} .0418226
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0054777{col 30}{space 2} .0293578{col 41}{space 1}   -0.19{col 50}{space 3}0.852{col 58}{space 4}-.0630634{col 71}{space 3} .0521081
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.2371002{col 30}{space 2} .0390958{col 41}{space 1}   -6.06{col 50}{space 3}0.000{col 58}{space 4}-.3137872{col 71}{space 3}-.1604132
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0625253{col 30}{space 2} .0524877{col 41}{space 1}   -1.19{col 50}{space 3}0.234{col 58}{space 4}-.1654808{col 71}{space 3} .0404303
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0421201{col 30}{space 2} .0527946{col 41}{space 1}   -0.80{col 50}{space 3}0.425{col 58}{space 4}-.1456776{col 71}{space 3} .0614373
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} -.037614{col 30}{space 2} .0510119{col 41}{space 1}   -0.74{col 50}{space 3}0.461{col 58}{space 4}-.1376746{col 71}{space 3} .0624466
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2} .0069078{col 30}{space 2} .0163784{col 41}{space 1}    0.42{col 50}{space 3}0.673{col 58}{space 4}-.0252186{col 71}{space 3} .0390343
{txt}{space 10}fampos {c |}{col 18}{res}{space 2} .0067538{col 30}{space 2} .0106224{col 41}{space 1}    0.64{col 50}{space 3}0.525{col 58}{space 4}-.0140823{col 71}{space 3} .0275899
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0005814{col 30}{space 2} .0003346{col 41}{space 1}    1.74{col 50}{space 3}0.082{col 58}{space 4}-.0000749{col 71}{space 3} .0012377
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0372006{col 30}{space 2} .0104605{col 41}{space 1}    3.56{col 50}{space 3}0.000{col 58}{space 4} .0166822{col 71}{space 3}  .057719
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0486764{col 30}{space 2} .0123357{col 41}{space 1}   -3.95{col 50}{space 3}0.000{col 58}{space 4} -.072873{col 71}{space 3}-.0244797
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0085907{col 30}{space 2} .0218589{col 41}{space 1}    0.39{col 50}{space 3}0.694{col 58}{space 4}-.0342859{col 71}{space 3} .0514673
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0187478{col 30}{space 2}  .019685{col 41}{space 1}    0.95{col 50}{space 3}0.341{col 58}{space 4}-.0198647{col 71}{space 3} .0573602
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0172531{col 30}{space 2} .0158418{col 41}{space 1}   -1.09{col 50}{space 3}0.276{col 58}{space 4}-.0483271{col 71}{space 3} .0138208
{txt}{space 12}west {c |}{col 18}{res}{space 2} -.015785{col 30}{space 2} .0163244{col 41}{space 1}   -0.97{col 50}{space 3}0.334{col 58}{space 4}-.0478055{col 71}{space 3} .0162355
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0147718{col 30}{space 2} .0143084{col 41}{space 1}   -1.03{col 50}{space 3}0.302{col 58}{space 4}-.0428379{col 71}{space 3} .0132944
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0583726{col 30}{space 2} .0163262{col 41}{space 1}   -3.58{col 50}{space 3}0.000{col 58}{space 4}-.0903966{col 71}{space 3}-.0263486
{txt}{space 10}vaxxed {c |}{col 18}{res}{space 2} .1696796{col 30}{space 2} .0115941{col 41}{space 1}   14.63{col 50}{space 3}0.000{col 58}{space 4} .1469376{col 71}{space 3} .1924216
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7612373{col 30}{space 2} .0318292{col 41}{space 1}   23.92{col 50}{space 3}0.000{col 58}{space 4}  .698804{col 71}{space 3} .8236707
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.ideo##i.vaxxed selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(26, 1523)     = {res}    26.44
{txt}       Model {c |} {res} 27.2931817        26  1.04973776   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 60.4676808     1,523  .039703008   {txt}R-squared       ={res}    0.3110
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2992
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res} .19926

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             behavindex{col 25}{c |} Coefficient{col 37}  Std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}condition {c |}
{space 16}health  {c |}{col 25}{res}{space 2}-.0009024{col 37}{space 2} .0553337{col 48}{space 1}   -0.02{col 57}{space 3}0.987{col 65}{space 4}-.1094406{col 78}{space 3} .1076358
{txt}{space 18}econ  {c |}{col 25}{res}{space 2}-.0159106{col 37}{space 2} .0592148{col 48}{space 1}   -0.27{col 57}{space 3}0.788{col 65}{space 4}-.1320617{col 78}{space 3} .1002406
{txt}{space 11}health/econ  {c |}{col 25}{res}{space 2}-.0025144{col 37}{space 2} .0597717{col 48}{space 1}   -0.04{col 57}{space 3}0.966{col 65}{space 4}-.1197579{col 78}{space 3} .1147292
{txt}{space 23} {c |}
{space 19}ideo {c |}{col 25}{res}{space 2}-.3564203{col 37}{space 2} .0702489{col 48}{space 1}   -5.07{col 57}{space 3}0.000{col 65}{space 4}-.4942152{col 78}{space 3}-.2186255
{txt}{space 23} {c |}
{space 7}condition#c.ideo {c |}
{space 16}health  {c |}{col 25}{res}{space 2}-.0987801{col 37}{space 2} .0898392{col 48}{space 1}   -1.10{col 57}{space 3}0.272{col 65}{space 4}-.2750017{col 78}{space 3} .0774414
{txt}{space 18}econ  {c |}{col 25}{res}{space 2}-.0715332{col 37}{space 2} .0951697{col 48}{space 1}   -0.75{col 57}{space 3}0.452{col 65}{space 4}-.2582107{col 78}{space 3} .1151443
{txt}{space 11}health/econ  {c |}{col 25}{res}{space 2}-.0333896{col 37}{space 2} .0953545{col 48}{space 1}   -0.35{col 57}{space 3}0.726{col 65}{space 4}-.2204297{col 78}{space 3} .1536505
{txt}{space 23} {c |}
{space 17}vaxxed {c |}
{space 19}yes  {c |}{col 25}{res}{space 2} .0691677{col 37}{space 2} .0502601{col 48}{space 1}    1.38{col 57}{space 3}0.169{col 65}{space 4}-.0294185{col 78}{space 3}  .167754
{txt}{space 23} {c |}
{space 7}condition#vaxxed {c |}
{space 12}health#yes  {c |}{col 25}{res}{space 2}-.0225398{col 37}{space 2} .0657106{col 48}{space 1}   -0.34{col 57}{space 3}0.732{col 65}{space 4}-.1514327{col 78}{space 3} .1063531
{txt}{space 14}econ#yes  {c |}{col 25}{res}{space 2}-.0037794{col 37}{space 2} .0684234{col 48}{space 1}   -0.06{col 57}{space 3}0.956{col 65}{space 4}-.1379935{col 78}{space 3} .1304348
{txt}{space 7}health/econ#yes  {c |}{col 25}{res}{space 2}  .000704{col 37}{space 2} .0685338{col 48}{space 1}    0.01{col 57}{space 3}0.992{col 65}{space 4}-.1337267{col 78}{space 3} .1351346
{txt}{space 23} {c |}
{space 10}vaxxed#c.ideo {c |}
{space 19}yes  {c |}{col 25}{res}{space 2} .1682802{col 37}{space 2} .0842363{col 48}{space 1}    2.00{col 57}{space 3}0.046{col 65}{space 4} .0030488{col 78}{space 3} .3335115
{txt}{space 23} {c |}
condition#vaxxed#c.ideo {c |}
{space 12}health#yes  {c |}{col 25}{res}{space 2} .0932437{col 37}{space 2} .1113554{col 48}{space 1}    0.84{col 57}{space 3}0.403{col 65}{space 4}-.1251824{col 78}{space 3} .3116698
{txt}{space 14}econ#yes  {c |}{col 25}{res}{space 2} .0584593{col 37}{space 2} .1151424{col 48}{space 1}    0.51{col 57}{space 3}0.612{col 65}{space 4}-.1673952{col 78}{space 3} .2843137
{txt}{space 7}health/econ#yes  {c |}{col 25}{res}{space 2}-.0154019{col 37}{space 2} .1132064{col 48}{space 1}   -0.14{col 57}{space 3}0.892{col 65}{space 4}-.2374588{col 78}{space 3}  .206655
{txt}{space 23} {c |}
{space 16}selfpos {c |}{col 25}{res}{space 2} .0043769{col 37}{space 2} .0162754{col 48}{space 1}    0.27{col 57}{space 3}0.788{col 65}{space 4}-.0275476{col 78}{space 3} .0363015
{txt}{space 17}fampos {c |}{col 25}{res}{space 2} .0060848{col 37}{space 2} .0105901{col 48}{space 1}    0.57{col 57}{space 3}0.566{col 65}{space 4}-.0146879{col 78}{space 3} .0268575
{txt}{space 20}age {c |}{col 25}{res}{space 2} .0005637{col 37}{space 2} .0003329{col 48}{space 1}    1.69{col 57}{space 3}0.091{col 65}{space 4}-.0000892{col 78}{space 3} .0012166
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0389402{col 37}{space 2}  .010433{col 48}{space 1}    3.73{col 57}{space 3}0.000{col 65}{space 4} .0184757{col 78}{space 3} .0594047
{txt}{space 14}onlywhite {c |}{col 25}{res}{space 2}-.0462237{col 37}{space 2} .0122595{col 48}{space 1}   -3.77{col 57}{space 3}0.000{col 65}{space 4}-.0702709{col 78}{space 3}-.0221765
{txt}{space 18}edu01 {c |}{col 25}{res}{space 2} .0166383{col 37}{space 2} .0217539{col 48}{space 1}    0.76{col 57}{space 3}0.444{col 65}{space 4}-.0260324{col 78}{space 3}  .059309
{txt}{space 13}incomefull {c |}{col 25}{res}{space 2} .0168615{col 37}{space 2} .0195583{col 48}{space 1}    0.86{col 57}{space 3}0.389{col 65}{space 4}-.0215025{col 78}{space 3} .0552255
{txt}{space 18}rural {c |}{col 25}{res}{space 2}-.0194174{col 37}{space 2}   .01577{col 48}{space 1}   -1.23{col 57}{space 3}0.218{col 65}{space 4}-.0503505{col 78}{space 3} .0115158
{txt}{space 19}west {c |}{col 25}{res}{space 2}-.0181136{col 37}{space 2} .0162408{col 48}{space 1}   -1.12{col 57}{space 3}0.265{col 65}{space 4}-.0499703{col 78}{space 3} .0137431
{txt}{space 18}south {c |}{col 25}{res}{space 2}-.0137758{col 37}{space 2} .0142093{col 48}{space 1}   -0.97{col 57}{space 3}0.332{col 65}{space 4}-.0416477{col 78}{space 3} .0140961
{txt}{space 16}midwest {c |}{col 25}{res}{space 2}-.0576963{col 37}{space 2}  .016224{col 48}{space 1}   -3.56{col 57}{space 3}0.000{col 65}{space 4}-.0895201{col 78}{space 3}-.0258726
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .8313457{col 37}{space 2} .0476947{col 48}{space 1}   17.43{col 57}{space 3}0.000{col 65}{space 4} .7377914{col 78}{space 3}    .9249
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest vaxxed if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(19, 1529)     = {res}    38.67
{txt}       Model {c |} {res} 47.9640633        19  2.52442438   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 99.8177512     1,529  .065283029   {txt}R-squared       ={res}    0.3246
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3162
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .25551

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0255796{col 30}{space 2} .0377195{col 41}{space 1}   -0.68{col 50}{space 3}0.498{col 58}{space 4} -.099567{col 71}{space 3} .0484078
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0449065{col 30}{space 2} .0378126{col 41}{space 1}   -1.19{col 50}{space 3}0.235{col 58}{space 4}-.1190765{col 71}{space 3} .0292635
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} -.011646{col 30}{space 2} .0373597{col 41}{space 1}   -0.31{col 50}{space 3}0.755{col 58}{space 4}-.0849277{col 71}{space 3} .0616357
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2} -.434443{col 30}{space 2} .0497488{col 41}{space 1}   -8.73{col 50}{space 3}0.000{col 58}{space 4}-.5320261{col 71}{space 3}-.3368598
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0234423{col 30}{space 2} .0667897{col 41}{space 1}   -0.35{col 50}{space 3}0.726{col 58}{space 4}-.1544513{col 71}{space 3} .1075668
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0163238{col 30}{space 2} .0671795{col 41}{space 1}   -0.24{col 50}{space 3}0.808{col 58}{space 4}-.1480975{col 71}{space 3} .1154498
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .0010445{col 30}{space 2} .0649469{col 41}{space 1}    0.02{col 50}{space 3}0.987{col 58}{space 4}  -.12635{col 71}{space 3}  .128439
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2}-.0190333{col 30}{space 2} .0208436{col 41}{space 1}   -0.91{col 50}{space 3}0.361{col 58}{space 4}-.0599182{col 71}{space 3} .0218517
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}-.0117149{col 30}{space 2} .0135227{col 41}{space 1}   -0.87{col 50}{space 3}0.386{col 58}{space 4}-.0382399{col 71}{space 3} .0148101
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0007608{col 30}{space 2} .0004258{col 41}{space 1}    1.79{col 50}{space 3}0.074{col 58}{space 4}-.0000744{col 71}{space 3}  .001596
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0361858{col 30}{space 2} .0133135{col 41}{space 1}    2.72{col 50}{space 3}0.007{col 58}{space 4} .0100712{col 71}{space 3} .0623004
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0456998{col 30}{space 2} .0156971{col 41}{space 1}   -2.91{col 50}{space 3}0.004{col 58}{space 4}-.0764899{col 71}{space 3}-.0149096
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2}-.0237294{col 30}{space 2} .0278261{col 41}{space 1}   -0.85{col 50}{space 3}0.394{col 58}{space 4}-.0783107{col 71}{space 3} .0308519
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2}-.0086062{col 30}{space 2} .0250529{col 41}{space 1}   -0.34{col 50}{space 3}0.731{col 58}{space 4}-.0577478{col 71}{space 3} .0405354
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0462397{col 30}{space 2} .0201592{col 41}{space 1}   -2.29{col 50}{space 3}0.022{col 58}{space 4}-.0857824{col 71}{space 3} -.006697
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0336264{col 30}{space 2} .0207912{col 41}{space 1}   -1.62{col 50}{space 3}0.106{col 58}{space 4}-.0744087{col 71}{space 3}  .007156
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0227206{col 30}{space 2}  .018207{col 41}{space 1}   -1.25{col 50}{space 3}0.212{col 58}{space 4} -.058434{col 71}{space 3} .0129927
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0626222{col 30}{space 2} .0207746{col 41}{space 1}   -3.01{col 50}{space 3}0.003{col 58}{space 4}-.1033718{col 71}{space 3}-.0218725
{txt}{space 10}vaxxed {c |}{col 18}{res}{space 2} .1907728{col 30}{space 2} .0147533{col 41}{space 1}   12.93{col 50}{space 3}0.000{col 58}{space 4}  .161834{col 71}{space 3} .2197116
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7700247{col 30}{space 2} .0405205{col 41}{space 1}   19.00{col 50}{space 3}0.000{col 58}{space 4} .6905431{col 71}{space 3} .8495064
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.ideo##i.vaxxed selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(26, 1522)     = {res}    29.32
{txt}       Model {c |} {res}  49.312529        26  1.89663573   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 98.4692854     1,522  .064697297   {txt}R-squared       ={res}    0.3337
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3223
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .25436

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               polindex{col 25}{c |} Coefficient{col 37}  Std. err.{col 49}      t{col 57}   P>|t|{col 65}     [95% con{col 78}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}condition {c |}
{space 16}health  {c |}{col 25}{res}{space 2}-.0813306{col 37}{space 2} .0706359{col 48}{space 1}   -1.15{col 57}{space 3}0.250{col 65}{space 4}-.2198847{col 78}{space 3} .0572234
{txt}{space 18}econ  {c |}{col 25}{res}{space 2}-.0922511{col 37}{space 2} .0755895{col 48}{space 1}   -1.22{col 57}{space 3}0.222{col 65}{space 4}-.2405218{col 78}{space 3} .0560196
{txt}{space 11}health/econ  {c |}{col 25}{res}{space 2}-.0427557{col 37}{space 2} .0763007{col 48}{space 1}   -0.56{col 57}{space 3}0.575{col 65}{space 4}-.1924214{col 78}{space 3}   .10691
{txt}{space 23} {c |}
{space 19}ideo {c |}{col 25}{res}{space 2}-.5954565{col 37}{space 2} .0896753{col 48}{space 1}   -6.64{col 57}{space 3}0.000{col 65}{space 4}-.7713567{col 78}{space 3}-.4195563
{txt}{space 23} {c |}
{space 7}condition#c.ideo {c |}
{space 16}health  {c |}{col 25}{res}{space 2}-.0039096{col 37}{space 2} .1146837{col 48}{space 1}   -0.03{col 57}{space 3}0.973{col 65}{space 4}-.2288644{col 78}{space 3} .2210452
{txt}{space 18}econ  {c |}{col 25}{res}{space 2} .0267325{col 37}{space 2}  .121487{col 48}{space 1}    0.22{col 57}{space 3}0.826{col 65}{space 4}-.2115672{col 78}{space 3} .2650323
{txt}{space 11}health/econ  {c |}{col 25}{res}{space 2} .0157828{col 37}{space 2} .1217233{col 48}{space 1}    0.13{col 57}{space 3}0.897{col 65}{space 4}-.2229803{col 78}{space 3} .2545459
{txt}{space 23} {c |}
{space 17}vaxxed {c |}
{space 19}yes  {c |}{col 25}{res}{space 2} .0382017{col 37}{space 2} .0641586{col 48}{space 1}    0.60{col 57}{space 3}0.552{col 65}{space 4} -.087647{col 78}{space 3} .1640504
{txt}{space 23} {c |}
{space 7}condition#vaxxed {c |}
{space 12}health#yes  {c |}{col 25}{res}{space 2} .0557068{col 37}{space 2} .0838821{col 48}{space 1}    0.66{col 57}{space 3}0.507{col 65}{space 4}-.1088299{col 78}{space 3} .2202436
{txt}{space 14}econ#yes  {c |}{col 25}{res}{space 2} .0615721{col 37}{space 2} .0873446{col 48}{space 1}    0.70{col 57}{space 3}0.481{col 65}{space 4}-.1097565{col 78}{space 3} .2329007
{txt}{space 7}health/econ#yes  {c |}{col 25}{res}{space 2} .0441566{col 37}{space 2} .0874906{col 48}{space 1}    0.50{col 57}{space 3}0.614{col 65}{space 4}-.1274582{col 78}{space 3} .2157715
{txt}{space 23} {c |}
{space 10}vaxxed#c.ideo {c |}
{space 19}yes  {c |}{col 25}{res}{space 2}  .217948{col 37}{space 2} .1075302{col 48}{space 1}    2.03{col 57}{space 3}0.043{col 65}{space 4} .0070249{col 78}{space 3} .4288711
{txt}{space 23} {c |}
condition#vaxxed#c.ideo {c |}
{space 12}health#yes  {c |}{col 25}{res}{space 2} .0248817{col 37}{space 2}  .142149{col 48}{space 1}    0.18{col 57}{space 3}0.861{col 65}{space 4}-.2539469{col 78}{space 3} .3037104
{txt}{space 14}econ#yes  {c |}{col 25}{res}{space 2}-.0441968{col 37}{space 2}  .146983{col 48}{space 1}   -0.30{col 57}{space 3}0.764{col 65}{space 4}-.3325074{col 78}{space 3} .2441138
{txt}{space 7}health/econ#yes  {c |}{col 25}{res}{space 2}-.0162061{col 37}{space 2} .1445583{col 48}{space 1}   -0.11{col 57}{space 3}0.911{col 65}{space 4}-.2997608{col 78}{space 3} .2673485
{txt}{space 23} {c |}
{space 16}selfpos {c |}{col 25}{res}{space 2}-.0206798{col 37}{space 2} .0207787{col 48}{space 1}   -1.00{col 57}{space 3}0.320{col 65}{space 4}-.0614378{col 78}{space 3} .0200782
{txt}{space 17}fampos {c |}{col 25}{res}{space 2}-.0137764{col 37}{space 2} .0135238{col 48}{space 1}   -1.02{col 57}{space 3}0.309{col 65}{space 4}-.0403037{col 78}{space 3} .0127509
{txt}{space 20}age {c |}{col 25}{res}{space 2}  .000765{col 37}{space 2} .0004249{col 48}{space 1}    1.80{col 57}{space 3}0.072{col 65}{space 4}-.0000686{col 78}{space 3} .0015985
{txt}{space 17}female {c |}{col 25}{res}{space 2}   .03836{col 37}{space 2} .0133207{col 48}{space 1}    2.88{col 57}{space 3}0.004{col 65}{space 4}  .012231{col 78}{space 3} .0644889
{txt}{space 14}onlywhite {c |}{col 25}{res}{space 2}-.0426257{col 37}{space 2} .0156502{col 48}{space 1}   -2.72{col 57}{space 3}0.007{col 65}{space 4}-.0733239{col 78}{space 3}-.0119275
{txt}{space 18}edu01 {c |}{col 25}{res}{space 2}-.0157668{col 37}{space 2} .0277804{col 48}{space 1}   -0.57{col 57}{space 3}0.570{col 65}{space 4}-.0702586{col 78}{space 3} .0387251
{txt}{space 13}incomefull {c |}{col 25}{res}{space 2}-.0105246{col 37}{space 2} .0249713{col 48}{space 1}   -0.42{col 57}{space 3}0.673{col 65}{space 4}-.0595063{col 78}{space 3} .0384571
{txt}{space 18}rural {c |}{col 25}{res}{space 2}-.0485657{col 37}{space 2} .0201318{col 48}{space 1}   -2.41{col 57}{space 3}0.016{col 65}{space 4}-.0880548{col 78}{space 3}-.0090766
{txt}{space 19}west {c |}{col 25}{res}{space 2} -.035794{col 37}{space 2} .0207519{col 48}{space 1}   -1.72{col 57}{space 3}0.085{col 65}{space 4}-.0764993{col 78}{space 3} .0049114
{txt}{space 18}south {c |}{col 25}{res}{space 2}-.0219588{col 37}{space 2} .0181387{col 48}{space 1}   -1.21{col 57}{space 3}0.226{col 65}{space 4}-.0575382{col 78}{space 3} .0136206
{txt}{space 16}midwest {c |}{col 25}{res}{space 2}-.0613659{col 37}{space 2} .0207107{col 48}{space 1}   -2.96{col 57}{space 3}0.003{col 65}{space 4}-.1019903{col 78}{space 3}-.0207414
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .8790631{col 37}{space 2} .0608933{col 48}{space 1}   14.44{col 57}{space 3}0.000{col 65}{space 4} .7596194{col 78}{space 3} .9985068
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ///*controlling for COVID concern
> ///tab covidexagg
> ///tab covidexagg, nolab  
> ///gen fatigue1=(4-covidexagg)/3
> ///label var fatigue1 "covid overexaggerated"
> ///label val fatigue1 pol
> ///tab fatigue1
> ///tab fatigue1 covidexagg
> 
. ///tab covidconcernus
> ///tab covidconcernus, nolab  
> ///gen fatigue2=(covidconcernus-1)/3
> ///label var fatigue2 "NOT worried about COVID"
> ///label val fatigue2 pol
> ///tab fatigue2
> ///tab fatigue2 covidconcernus
> 
. ///alpha fatigue1 fatigue2
> ///egen fatiguescale=rowmean(fatigue1 fatigue2)
> ///summ fatiguescale
> 
. reg behavindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest fatiguescale if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(16, 1533)     = {res}    80.82
{txt}       Model {c |} {res}  40.157221        16  2.50982631   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 47.6036414     1,533  .031052604   {txt}R-squared       ={res}    0.4576
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4519
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res} .17622

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  behavindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0109121{col 26}{space 2}  .013006{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-.0364236{col 67}{space 3} .0145994
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0080074{col 26}{space 2} .0131089{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-.0337208{col 67}{space 3}  .017706
{txt}health/econ  {c |}{col 14}{res}{space 2} .0106623{col 26}{space 2} .0130439{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4}-.0149234{col 67}{space 3}  .036248
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.1167467{col 26}{space 2} .0180434{col 37}{space 1}   -6.47{col 46}{space 3}0.000{col 54}{space 4}-.1521392{col 67}{space 3}-.0813543
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} .0307772{col 26}{space 2} .0143856{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4} .0025597{col 67}{space 3} .0589948
{txt}{space 6}fampos {c |}{col 14}{res}{space 2}-.0050564{col 26}{space 2} .0093371{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.0233712{col 67}{space 3} .0132584
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0000828{col 26}{space 2} .0002931{col 37}{space 1}   -0.28{col 46}{space 3}0.778{col 54}{space 4}-.0006577{col 67}{space 3} .0004922
{txt}{space 6}female {c |}{col 14}{res}{space 2} .0008328{col 26}{space 2} .0092212{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.0172548{col 67}{space 3} .0189203
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0380508{col 26}{space 2} .0108274{col 37}{space 1}   -3.51{col 46}{space 3}0.000{col 54}{space 4} -.059289{col 67}{space 3}-.0168127
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2} .0105947{col 26}{space 2} .0191403{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0269493{col 67}{space 3} .0481386
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2} .0563167{col 26}{space 2} .0171953{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4}  .022588{col 67}{space 3} .0900454
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0077167{col 26}{space 2}  .013889{col 37}{space 1}   -0.56{col 46}{space 3}0.579{col 54}{space 4}-.0349602{col 67}{space 3} .0195268
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0022814{col 26}{space 2} .0143327{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.0303951{col 67}{space 3} .0258324
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0249788{col 26}{space 2} .0125194{col 37}{space 1}   -2.00{col 46}{space 3}0.046{col 54}{space 4}-.0495358{col 67}{space 3}-.0004218
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0419944{col 26}{space 2} .0143375{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-.0701176{col 67}{space 3}-.0138711
{txt}fatiguescale {c |}{col 14}{res}{space 2} -.471356{col 26}{space 2} .0173998{col 37}{space 1}  -27.09{col 46}{space 3}0.000{col 54}{space 4} -.505486{col 67}{space 3} -.437226
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9980844{col 26}{space 2} .0238239{col 37}{space 1}   41.89{col 46}{space 3}0.000{col 54}{space 4} .9513536{col 67}{space 3} 1.044815
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.fatiguescale ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(19, 1530)     = {res}    68.09
{txt}       Model {c |} {res} 40.2071797        19  2.11616735   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 47.5536827     1,530  .031080838   {txt}R-squared       ={res}    0.4581
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4514
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res}  .1763

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              behavindex{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}condition {c |}
{space 17}health  {c |}{col 26}{res}{space 2}-.0177097{col 38}{space 2} .0203688{col 49}{space 1}   -0.87{col 58}{space 3}0.385{col 66}{space 4}-.0576634{col 79}{space 3} .0222439
{txt}{space 19}econ  {c |}{col 26}{res}{space 2} .0036014{col 38}{space 2} .0207391{col 49}{space 1}    0.17{col 58}{space 3}0.862{col 66}{space 4}-.0370786{col 79}{space 3} .0442814
{txt}{space 12}health/econ  {c |}{col 26}{res}{space 2} .0046764{col 38}{space 2} .0210368{col 49}{space 1}    0.22{col 58}{space 3}0.824{col 66}{space 4}-.0365877{col 79}{space 3} .0459404
{txt}{space 24} {c |}
{space 12}fatiguescale {c |}{col 26}{res}{space 2}-.4719293{col 38}{space 2} .0345466{col 49}{space 1}  -13.66{col 58}{space 3}0.000{col 66}{space 4} -.539693{col 79}{space 3}-.4041657
{txt}{space 24} {c |}
condition#c.fatiguescale {c |}
{space 17}health  {c |}{col 26}{res}{space 2} .0177247{col 38}{space 2} .0443559{col 49}{space 1}    0.40{col 58}{space 3}0.690{col 66}{space 4}-.0692801{col 79}{space 3} .1047296
{txt}{space 19}econ  {c |}{col 26}{res}{space 2}-.0301391{col 38}{space 2} .0452721{col 49}{space 1}   -0.67{col 58}{space 3}0.506{col 66}{space 4} -.118941{col 79}{space 3} .0586629
{txt}{space 12}health/econ  {c |}{col 26}{res}{space 2} .0147967{col 38}{space 2} .0451929{col 49}{space 1}    0.33{col 58}{space 3}0.743{col 66}{space 4}  -.07385{col 79}{space 3} .1034433
{txt}{space 24} {c |}
{space 20}ideo {c |}{col 26}{res}{space 2}-.1176602{col 38}{space 2} .0180805{col 49}{space 1}   -6.51{col 58}{space 3}0.000{col 66}{space 4}-.1531255{col 79}{space 3}-.0821949
{txt}{space 17}selfpos {c |}{col 26}{res}{space 2} .0309131{col 38}{space 2} .0144021{col 49}{space 1}    2.15{col 58}{space 3}0.032{col 66}{space 4} .0026631{col 79}{space 3} .0591631
{txt}{space 18}fampos {c |}{col 26}{res}{space 2} -.004842{col 38}{space 2} .0093501{col 49}{space 1}   -0.52{col 58}{space 3}0.605{col 66}{space 4}-.0231824{col 79}{space 3} .0134985
{txt}{space 21}age {c |}{col 26}{res}{space 2}-.0000819{col 38}{space 2} .0002936{col 49}{space 1}   -0.28{col 58}{space 3}0.780{col 66}{space 4}-.0006577{col 79}{space 3}  .000494
{txt}{space 18}female {c |}{col 26}{res}{space 2} .0008602{col 38}{space 2} .0092344{col 49}{space 1}    0.09{col 58}{space 3}0.926{col 66}{space 4}-.0172532{col 79}{space 3} .0189736
{txt}{space 15}onlywhite {c |}{col 26}{res}{space 2}-.0375241{col 38}{space 2} .0108453{col 49}{space 1}   -3.46{col 58}{space 3}0.001{col 66}{space 4}-.0587974{col 79}{space 3}-.0162508
{txt}{space 19}edu01 {c |}{col 26}{res}{space 2} .0111665{col 38}{space 2} .0191654{col 49}{space 1}    0.58{col 58}{space 3}0.560{col 66}{space 4}-.0264268{col 79}{space 3} .0487598
{txt}{space 14}incomefull {c |}{col 26}{res}{space 2} .0552758{col 38}{space 2} .0172242{col 49}{space 1}    3.21{col 58}{space 3}0.001{col 66}{space 4} .0214902{col 79}{space 3} .0890614
{txt}{space 19}rural {c |}{col 26}{res}{space 2} -.008314{col 38}{space 2} .0139049{col 49}{space 1}   -0.60{col 58}{space 3}0.550{col 66}{space 4}-.0355887{col 79}{space 3} .0189606
{txt}{space 20}west {c |}{col 26}{res}{space 2}-.0022838{col 38}{space 2} .0143458{col 49}{space 1}   -0.16{col 58}{space 3}0.874{col 66}{space 4}-.0304233{col 79}{space 3} .0258557
{txt}{space 19}south {c |}{col 26}{res}{space 2}-.0247493{col 38}{space 2} .0125371{col 49}{space 1}   -1.97{col 58}{space 3}0.049{col 66}{space 4} -.049341{col 79}{space 3}-.0001576
{txt}{space 17}midwest {c |}{col 26}{res}{space 2}-.0426714{col 38}{space 2} .0143615{col 49}{space 1}   -2.97{col 58}{space 3}0.003{col 66}{space 4}-.0708417{col 79}{space 3}-.0145011
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .9985386{col 38}{space 2} .0258077{col 49}{space 1}   38.69{col 58}{space 3}0.000{col 66}{space 4} .9479163{col 79}{space 3} 1.049161
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest fatiguescale if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(16, 1532)     = {res}    84.91
{txt}       Model {c |} {res}  69.455122        16  4.34094512   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 78.3266925     1,532  .051127084   {txt}R-squared       ={res}    0.4700
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4644
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .22611

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    polindex{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}condition {c |}
{space 5}health  {c |}{col 14}{res}{space 2}-.0093424{col 26}{space 2} .0166887{col 37}{space 1}   -0.56{col 46}{space 3}0.576{col 54}{space 4}-.0420775{col 67}{space 3} .0233927
{txt}{space 7}econ  {c |}{col 14}{res}{space 2}-.0183091{col 26}{space 2} .0168208{col 37}{space 1}   -1.09{col 46}{space 3}0.277{col 54}{space 4}-.0513032{col 67}{space 3} .0146851
{txt}health/econ  {c |}{col 14}{res}{space 2} .0294238{col 26}{space 2} .0167448{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0034213{col 67}{space 3}  .062269
{txt}{space 12} {c |}
{space 8}ideo {c |}{col 14}{res}{space 2}-.2532401{col 26}{space 2} .0231551{col 37}{space 1}  -10.94{col 46}{space 3}0.000{col 54}{space 4}-.2986591{col 67}{space 3} -.207821
{txt}{space 5}selfpos {c |}{col 14}{res}{space 2} .0092817{col 26}{space 2}  .018462{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.0269318{col 67}{space 3} .0454952
{txt}{space 6}fampos {c |}{col 14}{res}{space 2}-.0265421{col 26}{space 2} .0119872{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.0500551{col 67}{space 3}-.0030291
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0001159{col 26}{space 2} .0003762{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-.0008537{col 67}{space 3}  .000622
{txt}{space 6}female {c |}{col 14}{res}{space 2} -.006729{col 26}{space 2} .0118342{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.0299419{col 67}{space 3}  .016484
{txt}{space 3}onlywhite {c |}{col 14}{res}{space 2}-.0332877{col 26}{space 2} .0138934{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.0605399{col 67}{space 3}-.0060356
{txt}{space 7}edu01 {c |}{col 14}{res}{space 2}-.0226647{col 26}{space 2} .0245694{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.0708579{col 67}{space 3} .0255285
{txt}{space 2}incomefull {c |}{col 14}{res}{space 2}   .03455{col 26}{space 2} .0220677{col 37}{space 1}    1.57{col 46}{space 3}0.118{col 54}{space 4}-.0087361{col 67}{space 3}  .077836
{txt}{space 7}rural {c |}{col 14}{res}{space 2}-.0341761{col 26}{space 2} .0178235{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-.0691372{col 67}{space 3}  .000785
{txt}{space 8}west {c |}{col 14}{res}{space 2}-.0178157{col 26}{space 2} .0184059{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-.0539192{col 67}{space 3} .0182878
{txt}{space 7}south {c |}{col 14}{res}{space 2}-.0340928{col 26}{space 2} .0160643{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.0656031{col 67}{space 3}-.0025826
{txt}{space 5}midwest {c |}{col 14}{res}{space 2}-.0419576{col 26}{space 2} .0183972{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4} -.078044{col 67}{space 3}-.0058713
{txt}fatiguescale {c |}{col 14}{res}{space 2}-.5626579{col 26}{space 2} .0223386{col 37}{space 1}  -25.19{col 46}{space 3}0.000{col 54}{space 4}-.6064754{col 67}{space 3}-.5188403
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.031419{col 26}{space 2} .0306024{col 37}{space 1}   33.70{col 46}{space 3}0.000{col 54}{space 4} .9713924{col 67}{space 3} 1.091447
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.fatiguescale ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(19, 1529)     = {res}    71.55
{txt}       Model {c |} {res} 69.5518364        19  3.66062297   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 78.2299781     1,529  .051164145   {txt}R-squared       ={res}    0.4706
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4641
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .22619

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                polindex{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}condition {c |}
{space 17}health  {c |}{col 26}{res}{space 2}-.0285483{col 38}{space 2} .0261337{col 49}{space 1}   -1.09{col 58}{space 3}0.275{col 66}{space 4}-.0798101{col 79}{space 3} .0227134
{txt}{space 19}econ  {c |}{col 26}{res}{space 2}-.0108076{col 38}{space 2} .0266088{col 49}{space 1}   -0.41{col 58}{space 3}0.685{col 66}{space 4}-.0630013{col 79}{space 3} .0413861
{txt}{space 12}health/econ  {c |}{col 26}{res}{space 2} .0301127{col 38}{space 2} .0269981{col 49}{space 1}    1.12{col 58}{space 3}0.265{col 66}{space 4}-.0228446{col 79}{space 3} .0830699
{txt}{space 24} {c |}
{space 12}fatiguescale {c |}{col 26}{res}{space 2}-.5722861{col 38}{space 2} .0443243{col 49}{space 1}  -12.91{col 58}{space 3}0.000{col 66}{space 4}-.6592289{col 79}{space 3}-.4853432
{txt}{space 24} {c |}
condition#c.fatiguescale {c |}
{space 17}health  {c |}{col 26}{res}{space 2} .0512592{col 38}{space 2}   .05691{col 49}{space 1}    0.90{col 58}{space 3}0.368{col 66}{space 4}-.0603707{col 79}{space 3}  .162889
{txt}{space 19}econ  {c |}{col 26}{res}{space 2}-.0181895{col 38}{space 2} .0580854{col 49}{space 1}   -0.31{col 58}{space 3}0.754{col 66}{space 4} -.132125{col 79}{space 3} .0957461
{txt}{space 12}health/econ  {c |}{col 26}{res}{space 2} .0000926{col 38}{space 2} .0580572{col 49}{space 1}    0.00{col 58}{space 3}0.999{col 66}{space 4}-.1137875{col 79}{space 3} .1139727
{txt}{space 24} {c |}
{space 20}ideo {c |}{col 26}{res}{space 2}-.2534385{col 38}{space 2} .0231995{col 49}{space 1}  -10.92{col 58}{space 3}0.000{col 66}{space 4}-.2989447{col 79}{space 3}-.2079324
{txt}{space 17}selfpos {c |}{col 26}{res}{space 2} .0097962{col 38}{space 2} .0184822{col 49}{space 1}    0.53{col 58}{space 3}0.596{col 66}{space 4}-.0264569{col 79}{space 3} .0460493
{txt}{space 18}fampos {c |}{col 26}{res}{space 2}-.0264678{col 38}{space 2} .0120038{col 49}{space 1}   -2.20{col 58}{space 3}0.028{col 66}{space 4}-.0500134{col 79}{space 3}-.0029221
{txt}{space 21}age {c |}{col 26}{res}{space 2}-.0001306{col 38}{space 2} .0003768{col 49}{space 1}   -0.35{col 58}{space 3}0.729{col 66}{space 4}-.0008696{col 79}{space 3} .0006085
{txt}{space 18}female {c |}{col 26}{res}{space 2}-.0062442{col 38}{space 2} .0118504{col 49}{space 1}   -0.53{col 58}{space 3}0.598{col 66}{space 4}-.0294888{col 79}{space 3} .0170005
{txt}{space 15}onlywhite {c |}{col 26}{res}{space 2}-.0324193{col 38}{space 2} .0139151{col 49}{space 1}   -2.33{col 58}{space 3}0.020{col 66}{space 4} -.059714{col 79}{space 3}-.0051247
{txt}{space 19}edu01 {c |}{col 26}{res}{space 2}-.0228178{col 38}{space 2} .0246013{col 49}{space 1}   -0.93{col 58}{space 3}0.354{col 66}{space 4}-.0710737{col 79}{space 3} .0254381
{txt}{space 14}incomefull {c |}{col 26}{res}{space 2} .0336711{col 38}{space 2}  .022102{col 49}{space 1}    1.52{col 58}{space 3}0.128{col 66}{space 4}-.0096824{col 79}{space 3} .0770246
{txt}{space 19}rural {c |}{col 26}{res}{space 2}-.0348644{col 38}{space 2} .0178423{col 49}{space 1}   -1.95{col 58}{space 3}0.051{col 66}{space 4}-.0698623{col 79}{space 3} .0001336
{txt}{space 20}west {c |}{col 26}{res}{space 2}-.0177402{col 38}{space 2} .0184202{col 49}{space 1}   -0.96{col 58}{space 3}0.336{col 66}{space 4}-.0538719{col 79}{space 3} .0183914
{txt}{space 19}south {c |}{col 26}{res}{space 2}-.0339218{col 38}{space 2} .0160855{col 49}{space 1}   -2.11{col 58}{space 3}0.035{col 66}{space 4}-.0654737{col 79}{space 3}-.0023699
{txt}{space 17}midwest {c |}{col 26}{res}{space 2} -.042741{col 38}{space 2} .0184263{col 49}{space 1}   -2.32{col 58}{space 3}0.020{col 66}{space 4}-.0788846{col 79}{space 3}-.0065974
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 1.035216{col 38}{space 2}  .033134{col 49}{space 1}   31.24{col 58}{space 3}0.000{col 66}{space 4} .9702229{col 79}{space 3} 1.100209
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest fatiguescale if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(19, 1530)     = {res}    68.08
{txt}       Model {c |} {res} 40.2065248        19  2.11613288   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 47.5543377     1,530  .031081266   {txt}R-squared       ={res}    0.4581
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4514
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res}  .1763

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      behavindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0004955{col 30}{space 2} .0260266{col 41}{space 1}   -0.02{col 50}{space 3}0.985{col 58}{space 4}-.0515471{col 71}{space 3}  .050556
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} .0178566{col 30}{space 2} .0260995{col 41}{space 1}    0.68{col 50}{space 3}0.494{col 58}{space 4}-.0333381{col 71}{space 3} .0690512
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .0148201{col 30}{space 2} .0257811{col 41}{space 1}    0.57{col 50}{space 3}0.565{col 58}{space 4}-.0357498{col 71}{space 3} .0653901
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.0957892{col 30}{space 2} .0349138{col 41}{space 1}   -2.74{col 50}{space 3}0.006{col 58}{space 4}-.1642731{col 71}{space 3}-.0273052
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0212621{col 30}{space 2} .0461085{col 41}{space 1}   -0.46{col 50}{space 3}0.645{col 58}{space 4}-.1117046{col 71}{space 3} .0691803
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} -.053213{col 30}{space 2} .0463449{col 41}{space 1}   -1.15{col 50}{space 3}0.251{col 58}{space 4}-.1441193{col 71}{space 3} .0376933
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2}-.0088707{col 30}{space 2} .0447998{col 41}{space 1}   -0.20{col 50}{space 3}0.843{col 58}{space 4}-.0967463{col 71}{space 3} .0790049
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2} .0312379{col 30}{space 2} .0144066{col 41}{space 1}    2.17{col 50}{space 3}0.030{col 58}{space 4} .0029791{col 71}{space 3} .0594967
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}-.0051635{col 30}{space 2} .0093424{col 41}{space 1}   -0.55{col 50}{space 3}0.581{col 58}{space 4}-.0234887{col 71}{space 3} .0131618
{txt}{space 13}age {c |}{col 18}{res}{space 2}-.0000827{col 30}{space 2} .0002934{col 41}{space 1}   -0.28{col 50}{space 3}0.778{col 58}{space 4}-.0006583{col 71}{space 3} .0004928
{txt}{space 10}female {c |}{col 18}{res}{space 2} .0014146{col 30}{space 2} .0092413{col 41}{space 1}    0.15{col 50}{space 3}0.878{col 58}{space 4}-.0167124{col 71}{space 3} .0195417
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0379337{col 30}{space 2}  .010833{col 41}{space 1}   -3.50{col 50}{space 3}0.000{col 58}{space 4}-.0591829{col 71}{space 3}-.0166846
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2} .0105789{col 30}{space 2}  .019178{col 41}{space 1}    0.55{col 50}{space 3}0.581{col 58}{space 4} -.027039{col 71}{space 3} .0481969
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2}  .056919{col 30}{space 2} .0172127{col 41}{space 1}    3.31{col 50}{space 3}0.001{col 58}{space 4}  .023156{col 71}{space 3}  .090682
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0075691{col 30}{space 2} .0139108{col 41}{space 1}   -0.54{col 50}{space 3}0.586{col 58}{space 4}-.0348554{col 71}{space 3} .0197171
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0017267{col 30}{space 2} .0143462{col 41}{space 1}   -0.12{col 50}{space 3}0.904{col 58}{space 4} -.029867{col 71}{space 3} .0264136
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0246653{col 30}{space 2} .0125315{col 41}{space 1}   -1.97{col 50}{space 3}0.049{col 58}{space 4} -.049246{col 71}{space 3}-.0000846
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0421819{col 30}{space 2} .0143502{col 41}{space 1}   -2.94{col 50}{space 3}0.003{col 58}{space 4}  -.07033{col 71}{space 3}-.0140339
{txt}{space 4}fatiguescale {c |}{col 18}{res}{space 2}-.4715054{col 30}{space 2} .0174206{col 41}{space 1}  -27.07{col 50}{space 3}0.000{col 58}{space 4}-.5056762{col 71}{space 3}-.4373345
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .9870129{col 30}{space 2} .0280434{col 41}{space 1}   35.20{col 50}{space 3}0.000{col 58}{space 4} .9320054{col 71}{space 3}  1.04202
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg behavindex i.condition##c.ideo##c.fatiguescale selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,550
{txt}{hline 13}{c +}{hline 34}   F(26, 1523)     = {res}    53.32
{txt}       Model {c |} {res} 41.8192082        26  1.60843108   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 45.9416542     1,523  .030165236   {txt}R-squared       ={res}    0.4765
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4676
{txt}       Total {c |} {res} 87.7608624     1,549  .056656464   {txt}Root MSE        =   {res} .17368

{txt}{hline 32}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     behavindex{col 33}{c |} Coefficient{col 45}  Std. err.{col 57}      t{col 65}   P>|t|{col 73}     [95% con{col 86}f. interval]
{hline 32}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}condition {c |}
{space 24}health  {c |}{col 33}{res}{space 2}-.0289041{col 45}{space 2} .0363529{col 56}{space 1}   -0.80{col 65}{space 3}0.427{col 73}{space 4}-.1002113{col 86}{space 3}  .042403
{txt}{space 26}econ  {c |}{col 33}{res}{space 2}-.0123094{col 45}{space 2} .0376617{col 56}{space 1}   -0.33{col 65}{space 3}0.744{col 73}{space 4}-.0861837{col 86}{space 3} .0615649
{txt}{space 19}health/econ  {c |}{col 33}{res}{space 2} .0311473{col 45}{space 2} .0365795{col 56}{space 1}    0.85{col 65}{space 3}0.395{col 73}{space 4}-.0406041{col 86}{space 3} .1028988
{txt}{space 31} {c |}
{space 27}ideo {c |}{col 33}{res}{space 2} .0125349{col 45}{space 2}  .049508{col 56}{space 1}    0.25{col 65}{space 3}0.800{col 73}{space 4}-.0845762{col 86}{space 3}  .109646
{txt}{space 31} {c |}
{space 15}condition#c.ideo {c |}
{space 24}health  {c |}{col 33}{res}{space 2} .0307226{col 45}{space 2} .0714548{col 56}{space 1}    0.43{col 65}{space 3}0.667{col 73}{space 4}-.1094376{col 86}{space 3} .1708828
{txt}{space 26}econ  {c |}{col 33}{res}{space 2}  .041502{col 45}{space 2} .0742891{col 56}{space 1}    0.56{col 65}{space 3}0.576{col 73}{space 4}-.1042177{col 86}{space 3} .1872216
{txt}{space 19}health/econ  {c |}{col 33}{res}{space 2}-.0459644{col 45}{space 2} .0722541{col 56}{space 1}   -0.64{col 65}{space 3}0.525{col 73}{space 4}-.1876924{col 86}{space 3} .0957636
{txt}{space 31} {c |}
{space 19}fatiguescale {c |}{col 33}{res}{space 2}-.2512639{col 45}{space 2} .0802058{col 56}{space 1}   -3.13{col 65}{space 3}0.002{col 73}{space 4}-.4085893{col 86}{space 3}-.0939384
{txt}{space 31} {c |}
{space 7}condition#c.fatiguescale {c |}
{space 24}health  {c |}{col 33}{res}{space 2} .0500689{col 45}{space 2} .1015192{col 56}{space 1}    0.49{col 65}{space 3}0.622{col 73}{space 4}-.1490633{col 86}{space 3} .2492011
{txt}{space 26}econ  {c |}{col 33}{res}{space 2} .0097923{col 45}{space 2} .1021135{col 56}{space 1}    0.10{col 65}{space 3}0.924{col 73}{space 4}-.1905058{col 86}{space 3} .2100903
{txt}{space 19}health/econ  {c |}{col 33}{res}{space 2} -.100599{col 45}{space 2} .1015668{col 56}{space 1}   -0.99{col 65}{space 3}0.322{col 73}{space 4}-.2998246{col 86}{space 3} .0986267
{txt}{space 31} {c |}
{space 10}c.ideo#c.fatiguescale {c |}{col 33}{res}{space 2}-.3772471{col 45}{space 2} .1187858{col 56}{space 1}   -3.18{col 65}{space 3}0.002{col 73}{space 4}-.6102481{col 86}{space 3}-.1442461
{txt}{space 31} {c |}
condition#c.ideo#c.fatiguescale {c |}
{space 24}health  {c |}{col 33}{res}{space 2}-.0730159{col 45}{space 2} .1551295{col 56}{space 1}   -0.47{col 65}{space 3}0.638{col 73}{space 4}-.3773059{col 86}{space 3} .2312742
{txt}{space 26}econ  {c |}{col 33}{res}{space 2}-.0990084{col 45}{space 2} .1592319{col 56}{space 1}   -0.62{col 65}{space 3}0.534{col 73}{space 4}-.4113454{col 86}{space 3} .2133287
{txt}{space 19}health/econ  {c |}{col 33}{res}{space 2} .1855836{col 45}{space 2}  .155288{col 56}{space 1}    1.20{col 65}{space 3}0.232{col 73}{space 4}-.1190173{col 86}{space 3} .4901845
{txt}{space 31} {c |}
{space 24}selfpos {c |}{col 33}{res}{space 2} .0230089{col 45}{space 2} .0142576{col 56}{space 1}    1.61{col 65}{space 3}0.107{col 73}{space 4}-.0049577{col 86}{space 3} .0509756
{txt}{space 25}fampos {c |}{col 33}{res}{space 2}-.0022296{col 45}{space 2} .0092248{col 56}{space 1}   -0.24{col 65}{space 3}0.809{col 73}{space 4}-.0203244{col 86}{space 3} .0158651
{txt}{space 28}age {c |}{col 33}{res}{space 2} .0001304{col 45}{space 2} .0002914{col 56}{space 1}    0.45{col 65}{space 3}0.654{col 73}{space 4}-.0004411{col 86}{space 3} .0007019
{txt}{space 25}female {c |}{col 33}{res}{space 2} .0022866{col 45}{space 2} .0091431{col 56}{space 1}    0.25{col 65}{space 3}0.803{col 73}{space 4}-.0156478{col 86}{space 3} .0202209
{txt}{space 22}onlywhite {c |}{col 33}{res}{space 2}-.0361974{col 45}{space 2} .0107039{col 56}{space 1}   -3.38{col 65}{space 3}0.001{col 73}{space 4}-.0571934{col 86}{space 3}-.0152013
{txt}{space 26}edu01 {c |}{col 33}{res}{space 2} .0256628{col 45}{space 2} .0190471{col 56}{space 1}    1.35{col 65}{space 3}0.178{col 73}{space 4}-.0116986{col 86}{space 3} .0630242
{txt}{space 21}incomefull {c |}{col 33}{res}{space 2} .0575205{col 45}{space 2}  .017005{col 56}{space 1}    3.38{col 65}{space 3}0.001{col 73}{space 4} .0241648{col 86}{space 3} .0908763
{txt}{space 26}rural {c |}{col 33}{res}{space 2}-.0103919{col 45}{space 2} .0137302{col 56}{space 1}   -0.76{col 65}{space 3}0.449{col 73}{space 4}-.0373239{col 86}{space 3} .0165401
{txt}{space 27}west {c |}{col 33}{res}{space 2}-.0012228{col 45}{space 2} .0141467{col 56}{space 1}   -0.09{col 65}{space 3}0.931{col 73}{space 4}-.0289719{col 86}{space 3} .0265264
{txt}{space 26}south {c |}{col 33}{res}{space 2}-.0202305{col 45}{space 2} .0123884{col 56}{space 1}   -1.63{col 65}{space 3}0.103{col 73}{space 4}-.0445306{col 86}{space 3} .0040697
{txt}{space 24}midwest {c |}{col 33}{res}{space 2} -.040213{col 45}{space 2} .0141794{col 56}{space 1}   -2.84{col 65}{space 3}0.005{col 73}{space 4}-.0680262{col 86}{space 3}-.0123998
{txt}{space 26}_cons {c |}{col 33}{res}{space 2} .9114456{col 45}{space 2} .0339546{col 56}{space 1}   26.84{col 65}{space 3}0.000{col 73}{space 4} .8448429{col 86}{space 3} .9780483
{txt}{hline 32}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.ideo selfpos fampos age female onlywhite edu01 incomefull rural west south midwest fatiguescale if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(19, 1529)     = {res}    71.51
{txt}       Model {c |} {res} 69.5310964        19  3.65953139   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 78.2507181     1,529   .05117771   {txt}R-squared       ={res}    0.4705
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4639
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .22622

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        polindex{col 18}{c |} Coefficient{col 30}  Std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}condition {c |}
{space 9}health  {c |}{col 18}{res}{space 2}-.0220579{col 30}{space 2} .0333973{col 41}{space 1}   -0.66{col 50}{space 3}0.509{col 58}{space 4}-.0875673{col 71}{space 3} .0434516
{txt}{space 11}econ  {c |}{col 18}{res}{space 2} -.004632{col 30}{space 2} .0334907{col 41}{space 1}   -0.14{col 50}{space 3}0.890{col 58}{space 4}-.0703245{col 71}{space 3} .0610605
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .0126437{col 30}{space 2} .0330849{col 41}{space 1}    0.38{col 50}{space 3}0.702{col 58}{space 4}-.0522528{col 71}{space 3} .0775402
{txt}{space 16} {c |}
{space 12}ideo {c |}{col 18}{res}{space 2}-.2623472{col 30}{space 2} .0448011{col 41}{space 1}   -5.86{col 50}{space 3}0.000{col 58}{space 4}-.3502253{col 71}{space 3}-.1744691
{txt}{space 16} {c |}
condition#c.ideo {c |}
{space 9}health  {c |}{col 18}{res}{space 2} .0260572{col 30}{space 2} .0591669{col 41}{space 1}    0.44{col 50}{space 3}0.660{col 58}{space 4}-.0899997{col 71}{space 3} .1421141
{txt}{space 11}econ  {c |}{col 18}{res}{space 2}-.0283957{col 30}{space 2} .0594695{col 41}{space 1}   -0.48{col 50}{space 3}0.633{col 58}{space 4}-.1450461{col 71}{space 3} .0882548
{txt}{space 4}health/econ  {c |}{col 18}{res}{space 2} .0335871{col 30}{space 2} .0575173{col 41}{space 1}    0.58{col 50}{space 3}0.559{col 58}{space 4} -.079234{col 71}{space 3} .1464081
{txt}{space 16} {c |}
{space 9}selfpos {c |}{col 18}{res}{space 2} .0102509{col 30}{space 2} .0184893{col 41}{space 1}    0.55{col 50}{space 3}0.579{col 58}{space 4}-.0260162{col 71}{space 3} .0465181
{txt}{space 10}fampos {c |}{col 18}{res}{space 2}-.0266013{col 30}{space 2} .0119942{col 41}{space 1}   -2.22{col 50}{space 3}0.027{col 58}{space 4}-.0501282{col 71}{space 3}-.0030745
{txt}{space 13}age {c |}{col 18}{res}{space 2}-.0001178{col 30}{space 2} .0003766{col 41}{space 1}   -0.31{col 50}{space 3}0.755{col 58}{space 4}-.0008564{col 71}{space 3} .0006209
{txt}{space 10}female {c |}{col 18}{res}{space 2}-.0059176{col 30}{space 2} .0118601{col 41}{space 1}   -0.50{col 50}{space 3}0.618{col 58}{space 4}-.0291814{col 71}{space 3} .0173462
{txt}{space 7}onlywhite {c |}{col 18}{res}{space 2}-.0331577{col 30}{space 2} .0139011{col 41}{space 1}   -2.39{col 50}{space 3}0.017{col 58}{space 4}-.0604249{col 71}{space 3}-.0058905
{txt}{space 11}edu01 {c |}{col 18}{res}{space 2}-.0230115{col 30}{space 2} .0246198{col 41}{space 1}   -0.93{col 50}{space 3}0.350{col 58}{space 4}-.0713037{col 71}{space 3} .0252806
{txt}{space 6}incomefull {c |}{col 18}{res}{space 2} .0347275{col 30}{space 2} .0220909{col 41}{space 1}    1.57{col 50}{space 3}0.116{col 58}{space 4}-.0086042{col 71}{space 3} .0780592
{txt}{space 11}rural {c |}{col 18}{res}{space 2}-.0334816{col 30}{space 2} .0178516{col 41}{space 1}   -1.88{col 50}{space 3}0.061{col 58}{space 4}-.0684979{col 71}{space 3} .0015346
{txt}{space 12}west {c |}{col 18}{res}{space 2}-.0172565{col 30}{space 2} .0184245{col 41}{space 1}   -0.94{col 50}{space 3}0.349{col 58}{space 4}-.0533965{col 71}{space 3} .0188836
{txt}{space 11}south {c |}{col 18}{res}{space 2}-.0335066{col 30}{space 2} .0160803{col 41}{space 1}   -2.08{col 50}{space 3}0.037{col 58}{space 4}-.0650483{col 71}{space 3}-.0019648
{txt}{space 9}midwest {c |}{col 18}{res}{space 2}-.0420752{col 30}{space 2}  .018414{col 41}{space 1}   -2.28{col 50}{space 3}0.022{col 58}{space 4}-.0781946{col 71}{space 3}-.0059559
{txt}{space 4}fatiguescale {c |}{col 18}{res}{space 2}-.5634721{col 30}{space 2} .0223659{col 41}{space 1}  -25.19{col 50}{space 3}0.000{col 58}{space 4}-.6073432{col 71}{space 3}-.5196011
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 1.035092{col 30}{space 2} .0360082{col 41}{space 1}   28.75{col 50}{space 3}0.000{col 58}{space 4} .9644612{col 71}{space 3} 1.105723
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg polindex i.condition##c.ideo##c.fatiguescale selfpos fampos age female onlywhite edu01 incomefull rural west south midwest if attcorrect==1 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,549
{txt}{hline 13}{c +}{hline 34}   F(26, 1522)     = {res}    55.29
{txt}       Model {c |} {res} 71.7793755        26  2.76074521   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 76.0024389     1,522  .049935899   {txt}R-squared       ={res}    0.4857
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4769
{txt}       Total {c |} {res} 147.781814     1,548  .095466288   {txt}Root MSE        =   {res} .22346

{txt}{hline 32}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       polindex{col 33}{c |} Coefficient{col 45}  Std. err.{col 57}      t{col 65}   P>|t|{col 73}     [95% con{col 86}f. interval]
{hline 32}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}condition {c |}
{space 24}health  {c |}{col 33}{res}{space 2}-.0496584{col 45}{space 2}  .046773{col 56}{space 1}   -1.06{col 65}{space 3}0.289{col 73}{space 4}-.1414047{col 86}{space 3}  .042088
{txt}{space 26}econ  {c |}{col 33}{res}{space 2}-.0063504{col 45}{space 2} .0484566{col 56}{space 1}   -0.13{col 65}{space 3}0.896{col 73}{space 4}-.1013993{col 86}{space 3} .0886984
{txt}{space 19}health/econ  {c |}{col 33}{res}{space 2} .0501291{col 45}{space 2} .0470653{col 56}{space 1}    1.07{col 65}{space 3}0.287{col 73}{space 4}-.0421905{col 86}{space 3} .1424487
{txt}{space 31} {c |}
{space 27}ideo {c |}{col 33}{res}{space 2} -.111154{col 45}{space 2} .0637001{col 56}{space 1}   -1.74{col 65}{space 3}0.081{col 73}{space 4}-.2361033{col 86}{space 3} .0137953
{txt}{space 31} {c |}
{space 15}condition#c.ideo {c |}
{space 24}health  {c |}{col 33}{res}{space 2} .0657223{col 45}{space 2} .0919365{col 56}{space 1}    0.71{col 65}{space 3}0.475{col 73}{space 4}-.1146133{col 86}{space 3} .2460579
{txt}{space 26}econ  {c |}{col 33}{res}{space 2} .0062651{col 45}{space 2} .0955825{col 56}{space 1}    0.07{col 65}{space 3}0.948{col 73}{space 4}-.1812223{col 86}{space 3} .1937524
{txt}{space 19}health/econ  {c |}{col 33}{res}{space 2}-.0111289{col 45}{space 2} .0929834{col 56}{space 1}   -0.12{col 65}{space 3}0.905{col 73}{space 4}-.1935181{col 86}{space 3} .1712604
{txt}{space 31} {c |}
{space 19}fatiguescale {c |}{col 33}{res}{space 2} -.245708{col 45}{space 2} .1031972{col 56}{space 1}   -2.38{col 65}{space 3}0.017{col 73}{space 4}-.4481318{col 86}{space 3}-.0432842
{txt}{space 31} {c |}
{space 7}condition#c.fatiguescale {c |}
{space 24}health  {c |}{col 33}{res}{space 2} .0337053{col 45}{space 2} .1306176{col 56}{space 1}    0.26{col 65}{space 3}0.796{col 73}{space 4}-.2225042{col 86}{space 3} .2899148
{txt}{space 26}econ  {c |}{col 33}{res}{space 2}-.0987276{col 45}{space 2} .1313824{col 56}{space 1}   -0.75{col 65}{space 3}0.452{col 73}{space 4}-.3564372{col 86}{space 3}  .158982
{txt}{space 19}health/econ  {c |}{col 33}{res}{space 2}-.2080824{col 45}{space 2} .1306837{col 56}{space 1}   -1.59{col 65}{space 3}0.112{col 73}{space 4}-.4644216{col 86}{space 3} .0482569
{txt}{space 31} {c |}
{space 10}c.ideo#c.fatiguescale {c |}{col 33}{res}{space 2} -.532867{col 45}{space 2} .1528364{col 56}{space 1}   -3.49{col 65}{space 3}0.001{col 73}{space 4}-.8326593{col 86}{space 3}-.2330747
{txt}{space 31} {c |}
condition#c.ideo#c.fatiguescale {c |}
{space 24}health  {c |}{col 33}{res}{space 2}-.0234986{col 45}{space 2} .1995944{col 56}{space 1}   -0.12{col 65}{space 3}0.906{col 73}{space 4}-.4150077{col 86}{space 3} .3680105
{txt}{space 26}econ  {c |}{col 33}{res}{space 2} .0911266{col 45}{space 2} .2048726{col 56}{space 1}    0.44{col 65}{space 3}0.657{col 73}{space 4}-.3107358{col 86}{space 3} .4929891
{txt}{space 19}health/econ  {c |}{col 33}{res}{space 2} .2941483{col 45}{space 2} .1999118{col 56}{space 1}    1.47{col 65}{space 3}0.141{col 73}{space 4}-.0979835{col 86}{space 3} .6862801
{txt}{space 31} {c |}
{space 24}selfpos {c |}{col 33}{res}{space 2} .0014525{col 45}{space 2} .0183474{col 56}{space 1}    0.08{col 65}{space 3}0.937{col 73}{space 4}-.0345364{col 86}{space 3} .0374413
{txt}{space 25}fampos {c |}{col 33}{res}{space 2}-.0239038{col 45}{space 2} .0118758{col 56}{space 1}   -2.01{col 65}{space 3}0.044{col 73}{space 4}-.0471985{col 86}{space 3} -.000609
{txt}{space 28}age {c |}{col 33}{res}{space 2} .0001088{col 45}{space 2}  .000375{col 56}{space 1}    0.29{col 65}{space 3}0.772{col 73}{space 4}-.0006268{col 86}{space 3} .0008443
{txt}{space 25}female {c |}{col 33}{res}{space 2}-.0035501{col 45}{space 2} .0117659{col 56}{space 1}   -0.30{col 65}{space 3}0.763{col 73}{space 4}-.0266293{col 86}{space 3} .0195291
{txt}{space 22}onlywhite {c |}{col 33}{res}{space 2}-.0313465{col 45}{space 2} .0137721{col 56}{space 1}   -2.28{col 65}{space 3}0.023{col 73}{space 4}-.0583607{col 86}{space 3}-.0043322
{txt}{space 26}edu01 {c |}{col 33}{res}{space 2}-.0056639{col 45}{space 2} .0245168{col 56}{space 1}   -0.23{col 65}{space 3}0.817{col 73}{space 4}-.0537541{col 86}{space 3} .0424263
{txt}{space 21}incomefull {c |}{col 33}{res}{space 2} .0365618{col 45}{space 2} .0218822{col 56}{space 1}    1.67{col 65}{space 3}0.095{col 73}{space 4}-.0063606{col 86}{space 3} .0794842
{txt}{space 26}rural {c |}{col 33}{res}{space 2}-.0364966{col 45}{space 2}  .017667{col 56}{space 1}   -2.07{col 65}{space 3}0.039{col 73}{space 4}-.0711508{col 86}{space 3}-.0018423
{txt}{space 27}west {c |}{col 33}{res}{space 2}-.0158046{col 45}{space 2} .0182158{col 56}{space 1}   -0.87{col 65}{space 3}0.386{col 73}{space 4}-.0515352{col 86}{space 3} .0199261
{txt}{space 26}south {c |}{col 33}{res}{space 2}-.0283616{col 45}{space 2} .0159393{col 56}{space 1}   -1.78{col 65}{space 3}0.075{col 73}{space 4}-.0596269{col 86}{space 3} .0029036
{txt}{space 24}midwest {c |}{col 33}{res}{space 2}-.0397831{col 45}{space 2} .0182438{col 56}{space 1}   -2.18{col 65}{space 3}0.029{col 73}{space 4}-.0755688{col 86}{space 3}-.0039975
{txt}{space 26}_cons {c |}{col 33}{res}{space 2} .9327902{col 45}{space 2} .0437055{col 56}{space 1}   21.34{col 65}{space 3}0.000{col 73}{space 4} .8470608{col 86}{space 3}  1.01852
{txt}{hline 32}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\smithb\Documents\research\conspiracy\jeps replication log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}24 Jan 2022, 13:14:59
{txt}{.-}
{smcl}
{txt}{sf}{ul off}